From 65c90b368c2fc85133b370f565c6a0f88feae684 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Nu=C3=B1o=20Sempere?= Date: Mon, 20 May 2019 11:23:39 +0200 Subject: [PATCH] Update readme.md --- rat/eamentalhealth/analysis/readme.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/rat/eamentalhealth/analysis/readme.md b/rat/eamentalhealth/analysis/readme.md index 6e24ed0..3628d0a 100644 --- a/rat/eamentalhealth/analysis/readme.md +++ b/rat/eamentalhealth/analysis/readme.md @@ -17,10 +17,10 @@ ## 1. Is the population which answered the survey representative of EA overall? ### 1.1. According to age -![]([nunosempere.github.com/eamentalhealth/analysis/A1.png) +![]([nunosempere.github.com/rat/eamentalhealth/analysis/A1.png) ### 1.2. According to country. -![]([nunosempere.github.com/eamentalhealth/analysis/A2.png) +![]([nunosempere.github.com/rat/eamentalhealth/analysis/A2.png) ### 1.3. According to gender. EA Survey 2018: @@ -167,7 +167,7 @@ The effect is very robust to different modelizations: regressing instead on empt Here is the above, presented visually -![]([nunosempere.github.com/eamentalhealth/analysis/A3.png) +![]([nunosempere.github.com/rat/eamentalhealth/analysis/A3.png) The following table is the cold, raw, hard data for the graphic. ```