Differences

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--- econometricsr [2025/06/02 13:41] – [Exemples] glebelg
+++ econometricsr [2025/06/04 11:44] (current) – glebelg
@@ Line 1: / Line 1: @@
-====Start a script ====
+=====Start a script =====
   library(stargazer)
@@ Line 13: / Line 13: @@
 data from Rdata
-====Summary Stats====
+=====Summary Stats=====
   stargazer(dataset, type = "text", title= "Summary Statistics", digits = 2, out="output.csv")
@@ Line 22: / Line 22: @@
-====Regressions====
+=====Regressions=====
 linear
   reg1 <- lm(depvar ~ var1 + var2 + var3, data=dataset)
+use rlm for robust regressions
 probit
@@ Line 34: / Line 36: @@
-====Exemples====
+=====Exemples=====
   install.packages("MASS")
   install.packages("readODS")
@@ Line 65: / Line 67: @@
 #generate variables in dataset
   db1$niveauscore <- db1$niveau * db1$score
-    #option2 - si beaucoup d'opérations!
+#option2 - si beaucoup d'opérations!
     attach(db2)
     db2$niveauscore <- niveau * score
@@ Line 87: / Line 90: @@
 #summary statistics table
-stargazer(as.data.frame(db1), type="text", summary=TRUE)
+  stargazer(as.data.frame(db1), type="text", summary=TRUE)
 # tabulate
-table ("Age"=db1$age,"Sexe"= db1$sexe)
+  table ("Age"=db1$age,"Sexe"= db1$sexe)
-db1 %>% tab(age, sexe)
+  db1 %>% tab(age, sexe)
-db1 %>% tab1(age, sexe)
+  db1 %>% tab1(age, sexe)
-db1 %>% ftab( sexe, age)
+  db1 %>% ftab( sexe, age)
+=====Import/Export=====
+import excel
+  library(readxl)
+  db <- read_excel("db.xlsx")
+  View(db)
+import stata
+  library(haven)
+  db <- read_dta("db.dta")
+  View(db)
+export excel
+  install.packages("xlsx")
+  library(xlsx)
+  write.xlsx(db, file = "db.xlsx")
+=====Data Manipulation=====
+====drop publicates====
+  newdata <- distinct(dataset,varname, .keep_all = TRUE)