Working with violin plot

Hi

I would like to use the violin plot as described in the manual [1]. In the example, I see

ToothGrowth$dose <- as.factor(ToothGrowth$dose)
head(ToothGrowth)

On the other hand, my data is a csv file containing some rows and numbers. Problem is that the following code doesn't work


> mydata <- read.csv('test.csv', header=T,row.names=1)
> mydata
     V1  V2   V3 V4
P1 73.6 0.7 74.6  R
P2 75.2 0.7 75.8  R
P3  6.5 0.0  7.3  R
P4 41.4 0.3 39.2  C
P5  5.4 0.1 18.2  C
P6 18.8 0.3 30.3  C
> library(ggplot2)
> p <- ggplot(ToothGrowth, aes(x=V4, y=V1)) + geom_violin()
> p
Error in FUN(X[[i]], ...) : object 'V4' not found


Any idea to fix that?





[1] http://www.sthda.com/english/wiki/ggplot2-violin-plot-quick-start-guide-r-software-and-data-visualization


Regards,
Mahmood

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Try replacing
ggplot(ToothGrowth, ... )
with
ggplot(mydata,...)

HTH,
Eric


On Wed, Mar 31, 2021 at 12:20 PM Mahmood Naderan-Tahan <mahmood.naderan at ugent.be<mailto:mahmood.naderan at ugent.be>> wrote:
Hi

I would like to use the violin plot as described in the manual [1]. In the example, I see

ToothGrowth$dose <- as.factor(ToothGrowth$dose)
head(ToothGrowth)

On the other hand, my data is a csv file containing some rows and numbers. Problem is that the following code doesn't work


> mydata <- read.csv('test.csv', header=T,row.names=1)
> mydata
     V1  V2   V3 V4
P1 73.6 0.7 74.6  R
P2 75.2 0.7 75.8  R
P3  6.5 0.0  7.3  R
P4 41.4 0.3 39.2  C
P5  5.4 0.1 18.2  C
P6 18.8 0.3 30.3  C
> library(ggplot2)
> p <- ggplot(ToothGrowth, aes(x=V4, y=V1)) + geom_violin()
> p
Error in FUN(X[[i]], ...) : object 'V4' not found


Any idea to fix that?





[1] http://www.sthda.com/english/wiki/ggplot2-violin-plot-quick-start-guide-r-software-and-data-visualization


Regards,
Mahmood

        [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org<mailto:R-help at r-project.org> mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.