1172 lines
36 KiB
Markdown
1172 lines
36 KiB
Markdown
# EA Mental Health Exploratory Plots
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## The Code to produce them, in R, was:
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```
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# EA Mental Health - Clean
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# Dependencies:
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# install.packages("tidyr")
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# install.packages("scales")
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# install.packages("tidyverse")
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# install.packages("viridisLite")
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# install.packages("viridis")
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# install.packages("magrittr")
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library(stringi)
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library(magrittr)
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library(tidyr)
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library(scales)
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library(tidyverse)
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library(viridisLite)
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library(viridis)
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library(forcats)
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# Set your working directory to where the data is:
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setwd("directory")
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A <- read.csv("Responses.csv", header=TRUE, sep=",", stringsAsFactors = FALSE)
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## Note: if you don't select stringsAsFactors = FALSE, you can't manipulate elements as strings (for example, with grepl) unless you first process your data. For example: as.character(A[,column of interest]) -> A[,column of interest]
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# Q1:How involved are you with the effective altruism community
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colnames(A)[3]
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(ggplot(data = A, aes(x = How.involved.are.you.in.the.Effective.Altruism.Community.)) +
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geom_bar(
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aes(y = (..count..)/sum(..count..)),
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fill="royalblue4"
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)+
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labs(
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title="Q1: How involved are you in the Effective Altruism community?",
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subtitle="n =303",
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x=NULL,
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y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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scale_y_continuous(
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labels = percent_format(accuracy = 1)
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)+
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coord_flip()+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom")
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) %>%
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ggsave("Q1.png", plot =., units="in", width=10, height=5, dpi=800)
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## Q2: Do you attend EA Meetings
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colnames(A)[4]
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### This adds a line:
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for( i in c(1:length(A[,4]))){
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if(A[,4][i]=="No, but I regularly participate in an EA online group"){
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A[,4][i] = "No, but I regularly participate\n in an EA online group"
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}
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}
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ifelse(A[,4]=="", "Did not answer", A[,4]) -> A[,4]
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(ggplot(data = A, aes(x = Do.you.attend.EA.meetings.)) +
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geom_bar(
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aes(
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y = (..count..)/sum(..count..)),
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fill="royalblue4"
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)+
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coord_flip()+
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labs(
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title="Q2:Do you attend EA Meetings?",
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subtitle="n =303",
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x=NULL,
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y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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scale_y_continuous(
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labels = percent_format(accuracy = 1)
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)+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom")
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) %>%
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ggsave("Q2.png", plot =., units="in", width=10, height=5, dpi=800)
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## Q3: How much impact do EA ideas have on your life
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ini = 2
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i=ini+3
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colnames(A)[i] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" \\?","?",.) -> titulo
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ifelse(A[,i]=="", "Did not answer", A[,i]) -> A[,i]
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(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
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geom_bar(
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aes(y = (..count..)/sum(..count..)),
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fill="royalblue4")+
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coord_flip()+
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labs(
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title=titulo,
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subtitle="n =303",
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x=NULL,
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y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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scale_y_continuous(
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labels = percent_format(accuracy = 1)
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)+
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theme(legend.title = element_blank(), plot.subtitle = element_text(hjust = 0.5), plot.title = element_text(hjust = 0.5),legend.position="bottom")
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) %>%
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ggsave("Q3.png", plot =., units="in", width=10, height=5, dpi=800)
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## Q4: Do you donate part of your income to GiveWell recommended charities?
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ini = 2
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i=ini+4
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colnames(A)[i] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" \\?","?",.) -> titulo
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ifelse(A[,i]=="", "Did not answer", A[,i]) -> A[,i]
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(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
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geom_bar(
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aes(y = (..count..)/sum(..count..)),
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fill="royalblue4"
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)+
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labs(
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title=titulo,
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subtitle="n =303",
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x=NULL,
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y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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scale_y_continuous(
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labels = percent_format(accuracy = 1)
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)+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom"
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)
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)%>%
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ggsave("Q4.png", plot =., units="in", width=10, height=5, dpi=800)
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## I just discovered piping! Elegant!
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## Q5: Which of these conditions have you been formally diagnosed with?
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i=ini+5
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colnames(A)[i] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" \\?","?",.) -> titulo
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### This question will require some processing:
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List_of_Mental_Illnesses = c("Depression","Anxiety", "Obsessive Compulsive Disorder", "Disordered Eating", "Alcoholism", "Drug Addiction", "Borderline Personality Disorder", "Bipolar Disorder", "Autism", "ADHD", "Schizophrenia")
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MI=list()
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for( j in List_of_Mental_Illnesses){
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MI$count = c(MI$count,
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sum(
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grepl(j, A[,i])
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)
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)
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MI$type = c(MI$type, j)
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}
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MI$frequency = 100*MI$count / l
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as.data.frame(MI) -> MI
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(ggplot(data = MI, aes(x =type, y = frequency)) +
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geom_histogram(
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stat="identity",
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fill="royalblue4")+
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scale_y_continuous(
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labels=function(x) paste0(x,"%"),
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limits = c(0, 33)
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)+
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scale_x_discrete(
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limits=
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List_of_Mental_Illnesses[
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order(MI$count)# c(1,2,10,8,3,4,9,7,11,6,5) ## This orders the ilnesses by frequency
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]
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)+
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coord_flip()+
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labs(
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title=titulo,
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subtitle="n =303",
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x=NULL,
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y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom"
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)
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) %>%
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ggsave("Q5.png", plot =., units="in", width=10, height=5, dpi=800)
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## Q6: Which of these conditions do you think you may have but have never been formally diagnosed with?
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## I guess we can just reuse the code from Q5
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i=ini+6
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colnames(A)[i] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" \\?","?",.) -> titulo
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titulo= "Q6: Which of these conditions do you think you may have\nbut have never been formally diagnosed with?"
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List_of_Mental_Illnesses = c("Depression","Anxiety", "Obsessive Compulsive Disorder", "Disordered Eating", "Alcoholism", "Drug Addiction", "Borderline Personality Disorder", "Bipolar Disorder", "Autism", "ADHD", "Schizophrenia")
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MI2=list()
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for( j in List_of_Mental_Illnesses){
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MI2$count = c(MI2$count,
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sum(
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grepl(j, A[,i])
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)
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)
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MI2$type = c(MI2$type, j)
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}
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MI2$frequency = 100*MI2$count / l
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as.data.frame(MI2) -> MI2
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(ggplot(data = MI2, aes(x =type, y = frequency)) +
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geom_histogram(
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stat="identity",
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fill="royalblue4")+
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scale_y_continuous(
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labels=function(x) paste0(x,"%"),
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limits = c(0, 33)
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)+
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scale_x_discrete(
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limits=
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List_of_Mental_Illnesses[
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order(MI2$count)
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#c(2,1,10,9,4,3,8,5,7,6,11) ## This orders the ilnesses by frequency
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]
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)+
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coord_flip()+
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labs(
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title=titulo,
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subtitle="n =303",
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x=NULL,
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y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom"
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)
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) %>%
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ggsave("Q6.png", plot =., units="in", width=10, height=5, dpi=800)
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## Q5 and Q6 together. Both (formally diagnosed or not) count.
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i=ini+5
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colnames(A)[i] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" \\?","?",.) -> titulo1
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colnames(A)[i+1] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini+1,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" \\?","?",.) -> titulo2
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paste(c(titulo1, titulo2), collapse="\n+\n")-> titulo
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MI$diagnosed = "Diagnosed"
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MI2$diagnosed = "Intuited"
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as.data.frame(rbind(MI, MI2)) -> MI3
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(ggplot(data = MI3, aes(x =type, y = frequency, fill=diagnosed)) +
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geom_histogram(
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stat="identity",
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position= position_stack(reverse = TRUE)
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)+
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scale_fill_manual(
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values=c("royalblue3","steelblue1"))+
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scale_x_discrete(
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limits=
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List_of_Mental_Illnesses[
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order(MI$count +MI2$count ) ## This orders the ilnesses by frequency
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]
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)+
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scale_y_continuous(
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labels=function(x) paste0(x,"%"))+
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coord_flip()+
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labs(
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title=titulo,
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subtitle="n =303",
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x=NULL,
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y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom"
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)
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) %>%
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ggsave("Q5and6.png", plot =., units="in", width=10, height=5, dpi=800)
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## Q7: During the past 14 days how many hours did you miss from work because of mental health problems?
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i=ini+7
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read.csv("horus.csv", header=TRUE, sep=",", stringsAsFactors = FALSE) %>%
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.[complete.cases(sapply(.,as.integer)),] %>%
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.[order(as.integer(.$hours_worked)),] -> horus
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horus$person2 = c(1:dim(horus)[1])
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### We take the opportunity to calculate the average hours worked and missed.
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colnames(horus)
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mean(as.integer(horus$hours_worked))
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# the mean is 59.58182 ~ 59.5 hours / 2 weeks
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sd(as.integer(horus$hours_worked))
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# 31.19616
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mean(as.integer(horus$hours_missed_processed))
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# 5.749091
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sd(as.integer(horus$hours_missed_processed))
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# 14.44113
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mean(as.integer(horus$hours_missed_processed_other_reasons))
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# 6.578182
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sd(as.integer(horus$hours_missed_processed_other_reasons))
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# 13.7492
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### Problem: not everyone has answered each of the three questions, and the above only takes into account those who have. If we take into account
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read.csv("horus.csv", header=TRUE, sep=",", stringsAsFactors = FALSE)-> horus2
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mean(as.integer(horus2$hours_worked), na.rm=TRUE)
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# the mean is 58.31707 ~ 58.3 hours / 2 weeks
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sd(as.integer(horus2$hours_worked), na.rm=TRUE)
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# 31.74407
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mean(as.integer(horus2$hours_missed_processed), na.rm=TRUE)
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# 6.190141
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sd(as.integer(horus2$hours_missed_processed), na.rm=TRUE)
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# 15.05628
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mean(as.integer(horus2$hours_missed_processed_other_reasons), na.rm=TRUE)
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# 6.758007
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sd(as.integer(horus2$hours_missed_processed_other_reasons), na.rm=TRUE)
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# 14.06154
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### However, what we're interested in is in the ratio. The following plot ignores partial nonrespondents:
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### We continue modifying the list further, to arrive at the plot we want
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gather(horus,"type of hour", "hours", c(2:4)) -> horus
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# Gather transforms:
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# Person, hour_worked, hours_missed, hours_missed_non_mental ilness
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#person hours_worked hours_missed_processed hours_missed_processed_other_reasons
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#1 1 40 0 0
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#> horus[c(1:10),]
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#person hours_worked hours_missed_processed hours_missed_processed_other_reasons
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#1 1 40 0 0
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#2 2 80 0 0
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#3 3 100 2 10
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#4 4 80 0 0
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## Into:
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#person type of hour hours
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#1 1 hours_worked 40
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#2 2 hours_worked 80
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#3 3 hours_worked 100
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#4 4 hours_worked 80
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#5 5 hours_worked 0
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horus$hours = as.integer(horus$hours)
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(ggplot(data = horus, aes(x =person2, y = hours, fill=get("type of hour"))) +
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geom_histogram(stat="identity") +
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scale_fill_viridis_d(
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begin=1,
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end=.2,
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labels=
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c(
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" Work hours missed for mental health reasons",
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" Work hours missed for other reasons",
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" Total hours of work"
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)
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)+
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labs(
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title="Q7-9: Mental health and work hours",
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subtitle="n =303",
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x="Persons, ordered by hours worked",
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y="Hours",
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caption="@EA Mental Health Survey")+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom",
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legend.direction = "vertical")
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)%>%
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ggsave("Q7-9c.png", plot =., units="in", width=12, height=8, dpi=800)
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## Q10: During the past 14 days how much did mental health problems affect your productivity while you were working?
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ini=2
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i=ini+10
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colnames(A)[i] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" \\?","?",.) -> titulo
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titulo ="Q10: During the past 14 days, how much did mental health problems \naffect your productivity while you were working?"
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(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
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geom_bar(
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aes(y = (..count..)/sum(..count..)),
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fill="royalblue4"
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)+
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labs(
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title=titulo,
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subtitle="n =303",
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x=NULL, y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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scale_y_continuous(
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labels = percent_format(accuracy = 1)
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)+
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theme(
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legend.title = element_blank(),
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plot.subtitle = element_text(hjust = 0.5),
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plot.title = element_text(hjust = 0.5),
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legend.position="bottom")
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)%>%
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ggsave("Q10.png", plot =., units="in", width=10, height=5, dpi=800)
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## [1] "Q11: During the past 14 days how much did mental health problems affect your ability to do your regular daily activities other than work at a job?"
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ini = 2
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i=ini+11
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colnames(A)[i] %>%
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gsub("\\."," ",.) %>%
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c("Q",i-ini,": ",.,"?") %>%
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paste(., collapse="") %>%
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gsub(" "," ",.) %>%
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gsub(" \\?","?",.) %>%
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gsub(" \\?","?",.)-> titulo
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titulo = "Q11: During the past 14 days, how much did mental health problems\n affect your ability to do your regular daily activities\n other than work at a job?"
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(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
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geom_bar(aes(
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y = (..count..)/sum(..count..)),
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fill="royalblue4")+
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labs(
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title=titulo,
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subtitle="n =303",
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x=NULL, y="Frequency (%)",
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caption="@EA Mental Health Survey"
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)+
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scale_y_continuous(
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labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=10, height=5, dpi=800)
|
|
|
|
## Q12: Are the past 14 days representative of your average mental health?
|
|
|
|
ini = 2
|
|
i=ini+12
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
titulo
|
|
|
|
unique(A[,i])
|
|
ifelse(grepl("No", A[,i]),"No", A[,i]) -> A[,i]
|
|
ifelse(grepl("Yes", A[,i]),"Yes", A[,i]) -> A[,i]
|
|
ifelse(A[,i]=="","Did not answer", A[,i]) -> A[,i]
|
|
unique(A[,i])
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(
|
|
aes(y = (..count..)/sum(..count..)),
|
|
fill="royalblue4")+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey"
|
|
)+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom"
|
|
)
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=10, height=5, dpi=800)
|
|
|
|
## Perhaps do some linear regression model? Predict hours out of of the abstract questions + how representative it is? / whether it has been better. Exploratory plots.
|
|
|
|
## [1] "Q13: If you answered No to the previous question how has your mental health differed over the past 14 days?"
|
|
|
|
ini = 2
|
|
i=ini+13
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
titulo = "Q13: If you answered 'No' to the previous question,\nhow has your mental health differed over the past 14 days?"
|
|
|
|
## The unprocessed data is just a comment. Must be processed.
|
|
## Levels: Much worse, worse, better, Much better
|
|
|
|
#representative = c()
|
|
#for(j in c(1:length(A[,i]))){
|
|
# if(A[,i][j]!=""){
|
|
# representative=c(representative, readline(paste(c("j=",j," Answer=", A[,i][j],". Value = "),collapse="")))
|
|
# }
|
|
# else{
|
|
# representative=c(representative, NA)
|
|
# }
|
|
#}
|
|
|
|
representative2 <- read.csv(file = "Q13_how_has_your_mental_health_differed_over_the_past_14_days.csv",col.names=TRUE)
|
|
|
|
as.data.frame(representative2[!is.na(representative2)]) -> rep
|
|
|
|
(ggplot(data = rep, aes(x = get(colnames(rep)[1]))) +
|
|
geom_bar(
|
|
aes(y = (..count..)/sum(..count..)),
|
|
fill="royalblue4"
|
|
)+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom") )%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=10, height=5, dpi=800)
|
|
|
|
## [1] "Q14: How challenging was it to receive the mental healthcare services you needed within the past 12 months?"
|
|
|
|
ini = 2
|
|
i=ini+14
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
titulo="Q14: How challenging was it to receive the mental healthcare services\n you needed within the past 12 months?"
|
|
|
|
ifelse(grepl("I have not", A[,i]), "I have not needed mental healthcare services\n in the past 12 months.", A[,i]) -> A[,i]
|
|
ifelse(grepl("I did not seek", A[,i]), "I did not seek out mental healthcare services \nin the past 12 months but believe \nI could have benefitted from them.", A[,i]) -> A[,i]
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
#coord_flip()+
|
|
coord_flip()+
|
|
scale_x_discrete(limits=unique(A[,i])[rev(c(8,1,5,4,3,2,6))])+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=10, height=5, dpi=800)
|
|
|
|
## [1] "Q15: How challenging is it to find useful information on mental healthcare services?"
|
|
|
|
ini = 2
|
|
i=ini+15
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
ifelse(grepl("I have not looked for", A[,i]),"I have not looked for information\n on mental healthcare services.", A[,i]) -> A[,i]
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
#coord_flip()+
|
|
coord_flip()+
|
|
scale_x_discrete(limits=unique(A[,i])[rev(c(7,4,1,5,3,2,6))])+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
## [1] "Q16: Do you experience financial difficulties as a result of mental healthcare?"
|
|
|
|
ini = 2
|
|
i=ini+16
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
titulo = "Q16: Do you experience financial difficulties\nas a result of mental healthcare?"
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
#coord_flip()+
|
|
coord_flip()+
|
|
scale_x_discrete(limits=unique(A[,i])[rev(c(1,4,3,2,5))])+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
## [1] "I am currently receiving the mental healthcare I need"
|
|
|
|
ini = 2
|
|
i=ini+17
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
titulo
|
|
titulo="Q17: I am currently receiving the mental healthcare I need"
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
|
|
(ggplot(data = A, aes(x = fct_infreq(get(colnames(A)[i])))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
coord_flip()+
|
|
scale_x_discrete(limits=unique(A[,i])[rev(c(5,4, 2,1,3,6))])+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
Receiving = list()
|
|
for( j in unique(A[,i])){
|
|
Receiving$answer = c(Receiving$answer,sum(A[,i]==j)/303)
|
|
Receiving$category = c(Receiving$category,j)
|
|
}
|
|
|
|
Receiving = as.data.frame(Receiving)
|
|
factor(Receiving$category, levels = Receiving$category) -> Receiving$category
|
|
Receiving = Receiving[rev(c(1,2,5,6,4,3)),]
|
|
factor(Receiving$category, levels = Receiving$category) -> Receiving$category
|
|
|
|
(ggplot(data = Receiving, aes(x="", y = answer, fill = category)) +
|
|
geom_bar(stat="identity")+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL,
|
|
y=NULL,
|
|
caption="@EA Mental Health Survey"
|
|
)+
|
|
scale_fill_viridis_d(
|
|
#limits=unique(A[,i])[rev(c(6,1,2,5,4,3))]
|
|
)+
|
|
coord_polar(
|
|
"y",
|
|
start=0) +
|
|
theme(
|
|
axis.text = element_blank(),
|
|
axis.ticks = element_blank(),
|
|
panel.grid = element_blank())+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5)
|
|
)
|
|
) %>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=8, height=6, dpi=800)
|
|
|
|
|
|
## "Q18: How satisfied are you\nwith the mental healthcare you ve received?"
|
|
|
|
ini = 2
|
|
i=ini+18
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
titulo="Q18: How satisfied are you\nwith the mental healthcare you ve received?"
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
ifelse(A[,i]=="I have not received mental healthcare services.", "I have not received mental\nhealthcare services.", A[,i]) -> A[,i]
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
coord_flip()+
|
|
scale_x_discrete(
|
|
limits=unique(A[,i])[rev(c(5,1,4,3,2,6))]
|
|
)+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
## [1] "Q19: Which of the following treatments have you tried?"
|
|
|
|
ini = 2
|
|
i=ini+19
|
|
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
titulo = "Which treatments have you tried?"
|
|
|
|
## The following is somewhat ugly, but I didn't want to take the time to write short code.
|
|
Treatments = list()
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("CBT", A[,i])))
|
|
Treatments$name = c(Treatments$name, "CBT")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("Group therapy", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Group therapy")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("upport", A[,i])) + sum(grepl("connection",A[,i])))
|
|
Treatments$name = c(Treatments$name, "Group / friend support")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("Inpatient", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Inpatient mental health treatment")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("None", A[,i])) + sum(A[,i]==""))
|
|
Treatments$name = c(Treatments$name, "None")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("Meditation", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Meditation,mindfulness techniques,\nalternative therapies
|
|
")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("Prescribed", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Prescribed medication")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("sychotherapy", A[,i])) + sum(grepl("ounselling", A[,i])) + sum(grepl("psychology service", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Psychotherapy")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("Self-medication", A[,i])) + sum(grepl("GABA", A[,i])) + sum(grepl("St John", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Self-medication")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("books", A[,i])) + sum(grepl("Bibliotherapy", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Books")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("elf-organisation", A[,i])) + sum(grepl("stick to routine", A[,i])) + sum(grepl("self-discipline", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Self-discipline")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("ports", A[,i])) + sum(grepl("running", A[,i])) + sum(grepl("physical activity", A[,i])) + sum(grepl("exercise", A[,i])))
|
|
Treatments$name = c(Treatments$name, "Exercise")
|
|
|
|
Treatments$num = c(Treatments$num, sum(grepl("CBD", A[,i])) + sum(grepl("CFAR", A[,i])) + sum(grepl("EMDR", A[,i])) + sum(grepl("gratitude", A[,i])) + sum(grepl("diet", A[,i])) + sum(grepl("free phone consultant", A[,i])) + sum(grepl("PRI", A[,i])) + sum(grepl("practice sleep hygene", A[,i])) + sum(grepl("Sun lamp", A[,i])) + sum(grepl("Talking Space", A[,i])) + sum(grepl("Neuro-linguistic programming", A[,i])) )
|
|
Treatments$name = c(Treatments$name, "Others")
|
|
|
|
as.data.frame(Treatments) ->Treatments
|
|
Treatments[order(Treatments$num),] -> Treatments
|
|
factor(Treatments$name, levels = Treatments$name) -> Treatments$name
|
|
|
|
View(Treatments)
|
|
|
|
(ggplot(data = Treatments, aes(x = name, y = num)) +
|
|
geom_col(fill="royalblue4")+
|
|
coord_flip()+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,"-2.png"), collapse=""), plot =., units="in", width=9, height=6, dpi=800)
|
|
|
|
## [1] "Q20: Any other thoughts you d like to share on mental healthcare access?"
|
|
|
|
i=ini +20
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
## [1] "Q21: I believe that offering mental health resources to its members is an effective use of the EA Community's resources"
|
|
i=ini +21
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
titulo = "Q21: I believe that offering mental health resources to its members is an effective use of the EA Community's resources"
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
coord_flip()+
|
|
scale_x_discrete(
|
|
limits=unique(A[,i])[rev(c(3,1,2,4,6,5))]
|
|
)+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
## [1] "Q22: I believe that offering mental health resources to effective altruists is NOT likely to be one of the most effective interventions available"
|
|
|
|
i=ini +22
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
titulo = "Q22: I believe that offering mental health resources to effective altruists\nis NOT likely to be one of the most effective interventions available"
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
coord_flip()+
|
|
scale_x_discrete(limits=unique(A[,i])[rev(c(6,3,1,2,5,4))])+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
## Q23: Please explain your answers to the questions above
|
|
|
|
i=ini +23
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
## [1] "Q24: Do you think you could personally benefit from EA community mental health resources?"
|
|
|
|
i=ini +24
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
ifelse(is.na(A[,i]), "No answer", A[,i]) -> A[,i]
|
|
|
|
(ggplot(data = A, aes(x = get(colnames(A)[i]))) +
|
|
geom_bar(aes(y = (..count..)/sum(..count..)), fill="royalblue4")+
|
|
scale_x_discrete(limits=unique(A[,i])[rev(c(3,2,1,4))])+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL, y="Frequency (%)",
|
|
caption="@EA Mental Health Survey")+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
|
|
## [1] "Q25: Which if any of the following resources do you think you could potentially benefit from?"
|
|
ini=2
|
|
i=ini +25
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
ifelse(A[,i]=="", "No answer", A[,i]) -> A[,i]
|
|
ifelse(is.na(A[,i]), "No answer", A[,i]) -> A[,i]
|
|
|
|
Answers = c("No answer",
|
|
"Non-clinical mental healthcare supporter/advisor",
|
|
"Employee assistance programs",
|
|
"Mental healthcare navigators",
|
|
"EA-knowledgeable therapists",
|
|
"Funds for treatment",
|
|
"Other")
|
|
|
|
s=0
|
|
t=as.vector(A[,i])
|
|
for(j in c(1:303)){
|
|
if(!(t[j]=="" | t[j]%in%Answers)){
|
|
cat("\n",j+1," - ",t[j], ":")
|
|
s=s+as.integer(readline())
|
|
}
|
|
} ## s=31
|
|
|
|
You_could_benefit=list()
|
|
for(j in Answers){
|
|
You_could_benefit$thing = c(You_could_benefit$thing, j)
|
|
You_could_benefit$count = c(You_could_benefit$count, sum(grepl(j, A[,i])))
|
|
}
|
|
as.data.frame(You_could_benefit) -> You_could_benefit
|
|
You_could_benefit$count[7] = 31
|
|
|
|
## 158 - Someone answered they could benefit from heroin. Heroin :
|
|
|
|
(ggplot(data = You_could_benefit, aes(x = thing, y = count/303 )) +
|
|
geom_col(fill="royalblue4")+
|
|
#coord_flip()+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x=NULL,
|
|
y="Frequency (%)",
|
|
caption="@EA Mental Health Survey"
|
|
)+
|
|
coord_flip()+
|
|
scale_x_discrete(
|
|
#limits=unique(A[,i])[rev(c(3,2,1,4))]
|
|
)+
|
|
scale_y_continuous(
|
|
labels = percent_format(accuracy = 1)
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
legend.position="bottom")
|
|
)%>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
|
|
|
|
## [1] "Q26: Any other thoughts you d like to share on EA sponsored mental health resources?"
|
|
|
|
ini=2
|
|
i=ini +26
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
|
|
## Country
|
|
|
|
ini=2
|
|
i=ini +27
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
## Age
|
|
|
|
ini=2
|
|
i=ini +28
|
|
colnames(A)[i] %>%
|
|
gsub("\\."," ",.) %>%
|
|
c("Q",i-ini,": ",.,"?") %>%
|
|
paste(., collapse="") %>%
|
|
gsub(" \\?","?",.) %>%
|
|
gsub(" \\?","?",.)-> titulo
|
|
|
|
(ggplot(data=A) +
|
|
geom_bar(
|
|
aes(x=Age),
|
|
fill="royalblue4"
|
|
)+
|
|
labs(
|
|
title=titulo,
|
|
subtitle="n =303",
|
|
x="Age",
|
|
y="Relative frequency",
|
|
caption="@EA Mental Health Survey"
|
|
)+
|
|
theme(
|
|
legend.title = element_blank(),
|
|
plot.subtitle = element_text(hjust = 0.5),
|
|
plot.title = element_text(hjust = 0.5),
|
|
axis.text.y = element_blank(),
|
|
legend.position="bottom")
|
|
) %>%
|
|
ggsave(paste(c("Q", i-ini,".png"), collapse=""), plot =., units="in", width=12, height=5, dpi=800)
|
|
|
|
```
|