r - Error in stat_summary(fun.y) when plotting outliers in a modified ggplot-boxplot -


i want plot boxplots showing 95 percentile instead of iqr, including outliers defined exceeding 95% criterion. code working fine, , based on several answers found here , on web:

f1 <- function(x) {   subset(x, x < quantile(x, probs=0.025)) # low outliers }  f2 <- function(x) {   r <- quantile(x, probs = c(0.025, 0.25, 0.5, 0.75, 0.975))   names(r) <- c("ymin", "lower", "middle", "upper", "ymax")   r } d <- data.frame(x=gl(2,50), y=rnorm(100))  library(ggplot2)  p0 <- ggplot(d, aes(x,y)) +         stat_summary(fun.data = f2, geom="boxplot") + coord_flip()  p1 <- p0 + stat_summary(fun.y = f1, geom="point")

the structure of d is:

'data.frame':   100 obs. of  2 variables:  $ x: factor w/ 2 levels "1","2": 1 1 1 1 1 1 1 1 1 1 ...  $ y: num  2.275 0.659 -0.821 -0.129 1.997 ...

now, coming real data, structured same:

str(test) 'data.frame':   11830917 obs. of  2 variables:  $ x: ord.factor w/ 34 levels "sg26"<"sg22"<..: 18 18 18 18 18 18 18 18 18 18 ...  $ y: num  84.6 84.1 93.3 84 93.2 94.3 83.3 92.5 94.5 98.8 ...

now, if applying same plot command, get: 

    p0 <- ggplot(test, aes(x,y)) + stat_summary(fun.data = f2, geom="boxplot") +  coord_flip()      p1 <- p0 + stat_summary(fun.y = f1, geom="point")     p1  warning message: computation failed in `stat_summary()`: argumente implizieren unterschiedliche anzahl zeilen: 1, 0

the final line german version of "arguments imply differing number of rows 1 0". p0 produced fine.

what difference between 2 datasets?

the problem, identified @heroka , @bdemarest, arose 1 factor level having 1 value.

my workaround skip factors:

f1 <- function(x) {   if (length(x) > 7) {     return(subset(x, x < quantile(x, probs=0.025))) # low outliers   } else {     return(na)   } }

for unknown reasons, problem persisted until there @ least 7 values per factor level.


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