What do you think these two statements do? df <- data2 df <- data.frame(var=c("Young_Control", "Young_Treated", "CHG_methylation"))
I suggest you stop what you're doing and spend time with an R tutorial or two before proceeding. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sun, Feb 16, 2020 at 2:01 PM pooja sinha <pjsinh...@gmail.com> wrote: > Hi All, > > I have data in excel with the following details: > CHG_methylation Young_Control Young_Treated > 0-10% 95.23 94.53 > 10-20% 3.71 4.16 > 20-30% 0.68 0.8 > 30-40% 0.18 0.22 > 40-50% 0.07 0.09 > 50-60% 0.04 0.06 > 60-70% 0.02 0.04 > 70-80% 0.02 0.03 > 80-90% 0.02 0.03 > 90-100% 0.04 0.05 > I am trying to plot the graph using ggplot2 but not successful yet. My code > is below: > > library(readxl) > library(dplyr) > library(tidyverse) > data2 <- read_excel("CHG_meth_plot1.xlsx") > df <- data2 > df <- data.frame(var=c("Young_Control", "Young_Treated", > "CHG_methylation")) > df > > ggplot(data = df, aes(x = var, y = CHG_methylation)) + > geom_bar(aes(fill = CHG_methylation)) > > I am getting error as something is wrong with my df. Also I needed to > create breaks in y-axis as I do not know whether it is possible in R or > not. > Any kind of help is highly appreciated. > > Thanks, > Puja > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@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. > [[alternative HTML version deleted]] ______________________________________________ R-help@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.