search for: ms1s

...) library(dplyr) #read data MS = read.delim("Test1.txt", na.strings="NA") names(MS) MS$Jahr<-as.numeric(MS$Jahr) MS$Bio<-as.factor(MS$Bio) str(MS) ##### boxplot BFF QI MS1<- MS %>% filter(QI_A!="NA") %>% droplevels() MS1$Jahr<-as.factor(MS1$Jahr) MS1s <- MS1 %>% group_by(MS1$Jahr, MS1$Bio) %>% summarise( y0 = quantile(QI_A, 0.05), y25 = quantile(QI_A, 0.25), y50 = mean(QI_A), y75 = quantile(QI_A, 0.75), y100 = quantile(QI_A, 0.95)) MS1s colnames(MS1s)[1]<-"Jahr" colnames(MS1s)[2]<-"Bio"...

...notch=TRUE the code provides the planned ggplot. > > > > Kind regards > > Sibylle > > > > Code: > > > > MS1<- MS %>% filter(QI_A!="NA") %>% droplevels() > > MS1$Jahr<-as.factor(MS1$Jahr) > > > > MS1s <- MS1 %>% > > group_by(MS1$Jahr, MS1$Bio) %>% > > summarise( > > y0 = quantile(QI_A, 0.05), > > y25 = quantile(QI_A, 0.25), > > y50 = mean(QI_A), > > y75 = quantile(QI_A, 0.75), > > y100 = quantile(QI_A, 0.95)...

...anyone know if the command ?notch=TRUE? is at the wrong place in my special code construct? Without notch=TRUE the code provides the planned ggplot. Kind regards Sibylle Code: MS1<- MS %>% filter(QI_A!="NA") %>% droplevels() MS1$Jahr<-as.factor(MS1$Jahr) MS1s <- MS1 %>% group_by(MS1$Jahr, MS1$Bio) %>% summarise( y0 = quantile(QI_A, 0.05), y25 = quantile(QI_A, 0.25), y50 = mean(QI_A), y75 = quantile(QI_A, 0.75), y100 = quantile(QI_A, 0.95)) MS1s colnames(MS1s)[1]<-"Jahr" colnames(MS1s)[2]<-&qu...

....txt", na.strings="NA") > names(MS) > > MS$Jahr<-as.numeric(MS$Jahr) > MS$Bio<-as.factor(MS$Bio) > str(MS) > > ##### boxplot BFF QI > > MS1<- MS %>% filter(QI_A!="NA") %>% droplevels() > MS1$Jahr<-as.factor(MS1$Jahr) > > MS1s <- MS1 %>% > group_by(MS1$Jahr, MS1$Bio) %>% > summarise( > y0 = quantile(QI_A, 0.05), > y25 = quantile(QI_A, 0.25), > y50 = mean(QI_A), > y75 = quantile(QI_A, 0.75), > y100 = quantile(QI_A, 0.95)) > > MS1s > colnames(MS1s)[1]&lt...

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