From 4847fac6b077a935c332380f6a3803c54e50ad7a Mon Sep 17 00:00:00 2001
From: Cavallaro <nino.cavallaro@idiv.de>
Date: Mon, 11 Mar 2024 12:52:04 +0100
Subject: [PATCH] sociodemo_table

---
 Scripts/treatment.R | 26 +++++++++++++-------------
 project_start.qmd   | 12 +++++-------
 2 files changed, 18 insertions(+), 20 deletions(-)

diff --git a/Scripts/treatment.R b/Scripts/treatment.R
index 5a8c217..acec3c3 100644
--- a/Scripts/treatment.R
+++ b/Scripts/treatment.R
@@ -59,25 +59,25 @@ print(xtable(treatment_socio_B, type ="latex"),
       include.rownames = F, file ="Tables/socio_demos_B.tex")
 
 ### Case C
-treatment_socio <- database_full %>% filter(!is.na(Treatment)) %>% group_by(Treatment) %>% 
+treatment_socio <- database_full %>% filter(!is.na(Treatment)) %>% group_by(Treatment_C) %>% 
   summarize_at(c('Gender_female', 'Uni_degree', 'Age', 'HHSize', "Rent_SQ", "Kids_Dummy", "WalkingDistance_SQ",
                  "Naturalness_SQ", "Employment_full", "Z_Mean_NR"),
                ~ round(mean(., na.rm = TRUE), 2))
 
-treatment_socio_C <- database_full %>% filter(!is.na(Treatment_new)) %>% group_by(Treatment_new) %>% 
+treatment_socio_C <- database_full %>% filter(!is.na(Treatment_new)) %>% group_by(Treatment_C) %>% 
   summarize_at(c('Gender_female', 'Uni_degree', 'Age', 'HHSize', "Rent_SQ", "Kids_Dummy", "WalkingDistance_SQ",
-                 "Naturalness_SQ", "Employment_full", "Pensioner"),
+                 "Naturalness_SQ", "Employment_full",  "Z_Mean_NR"),
                ~ round(mean(., na.rm = TRUE), 2))
-
-treatment_socio_C <- treatment_socio_C %>%  mutate(Treatment_name = case_when(
-  Treatment_new == 1 ~ 'Video 1',
-  Treatment_new == 2 ~ 'No Video 1',
-  Treatment_new == 3 ~ 'No Info 2',
-  Treatment_new == 4 ~ 'No Video 2',
-  Treatment_new == 5 ~ 'Video 2',
-  Treatment_new == 6 ~ 'No Treatment 3',
-  TRUE ~ NA_character_
-))
+# 
+# treatment_socio_C <- treatment_socio_C %>%  mutate(Treatment_name = case_when(
+#   Treatment_new == 1 ~ 'Video 1',
+#   Treatment_new == 2 ~ 'No Video 1',
+#   Treatment_new == 3 ~ 'No Info 2',
+#   Treatment_new == 4 ~ 'No Video 2',
+#   Treatment_new == 5 ~ 'Video 2',
+#   Treatment_new == 6 ~ 'No Treatment 3',
+#   TRUE ~ NA_character_
+# ))
 
 # Export table as tex file 
 print(xtable(treatment_socio_C, type ="latex"), 
diff --git a/project_start.qmd b/project_start.qmd
index 67a9f8c..19e2c9f 100644
--- a/project_start.qmd
+++ b/project_start.qmd
@@ -118,26 +118,24 @@ list_ols <- list("(Intercept)" = "Intercept", "as.factor(Treatment_A)Treated" =
 ```
 ## Socio Demografics {.smaller}
 
-::: {style="font-size: 37%;"}
+::: {style="font-size: 50%;"}
 ::: panel-tabset
 ### Case A
 
 ```{r}
-library(DT)
-treatment_socio_A <- treatment_socio_A
-datatable(treatment_socio_A)
+kableExtra::kable(treatment_socio_A)
 ```
 
 ### Case C
 
 ```{r}
-library(DT)
-treatment_socio_C <- treatment_socio_C %>% select(-Treatment_new) %>% select(Treatment_name, everything())
-datatable(treatment_socio_C)
+kableExtra::kable(treatment_socio_C)
 ```
 :::
 :::
 
+
+
 ## NR
 
 **Hypotheses:** Individuals with greater Nature Relatedness (NR) are more inclined to autonomously seek information about environmental subjects, such as the impact of urban green spaces on urban heat islands. Consequently, any observed increase in the willingness to pay among the treated group may be attributed to the individuals' higher NR rather than the treatment itself.
-- 
GitLab