Modified quantile calculation :

- speedup with arg names=F
- type 3 (SAS) quantiles to prevent errors and guarantee consistency with SAS results

R/desc_global.R

@@ -100,8 +100,8 @@ desc_global <- function(table, html="desc_global", titre=NULL, variables=NULL, v
           moy = mean(table[[var]],na.rm=T),
           "%/med" = ,
           med = median(table[[var]],na.rm=T),
-          Q1 = quantile(table[[var]], probs=.25, na.rm=T),
-          Q3 = quantile(table[[var]], probs=.75, na.rm=T),
+          Q1 = quantile(table[[var]], probs=.25, na.rm=T,names=F,type=3),
+          Q3 = quantile(table[[var]], probs=.75, na.rm=T,names=F,type=3),
           min = min(table[[var]],na.rm=T),
           max = max(table[[var]],na.rm=T),
           et = sd(table[[var]],na.rm=T),