Bar Chart With Error Bar In R
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Bar Chart With Error Bars Matlab
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Standard Deviation Bar Chart
(10) Uncategorized (28) Meta Log in Entries RSS Comments RSS WordPress.org ← error bar graph Latest Swine Flu Epidemic Curve for the United States Stanford Workshop in Biodemography → Plotting Error Bars in how to insert error bars in excel mac R August 24th, 2009 · 52 Comments · R One common frustration that I have heard expressed about R is that there is no automatic way to plot error https://www.r-bloggers.com/building-barplots-with-error-bars/ bars (whiskers really) on bar plots. I just encountered this issue revising a paper for submission and figured I'd share my code. The following simple function will plot reasonable error bars on a bar plot. PLAIN TEXT R: error.bar <- function(x, y, upper, lower=upper, length=0.1,...){ if(length(x) != length(y) | length(y) !=length(lower) | length(lower) != length(upper)) stop("vectors must be same length") http://monkeysuncle.stanford.edu/?p=485 arrows(x,y+upper, x, y-lower, angle=90, code=3, length=length, ...) } Now let's use it. First, I'll create 5 means drawn from a Gaussian random variable with unit mean and variance. I want to point out another mild annoyance with the way that R handles bar plots, and how to fix it. By default, barplot() suppresses the X-axis. Not sure why. If you want the axis to show up with the same line style as the Y-axis, include the argument axis.lty=1, as below. By creating an object to hold your bar plot, you capture the midpoints of the bars along the abscissa that can later be used to plot the error bars. PLAIN TEXT R: y <- rnorm(500, mean=1) y <- matrix(y,100,5) y.means <- apply(y,2,mean) y.sd <- apply(y,2,sd) barx <- barplot(y.means, names.arg=1:5,ylim=c(0,1.5), col="blue", axis.lty=1, xlab="Replicates", ylab="Value (arbitrary units)") error.bar(barx,y.means, 1.96*y.sd/10) Now let's say we want to create the very common plot in reporting the results of scientific experiments: adjacent bars representing the treatment and the control with 95% confidence intervals on the estimates of the means. The trick here is t
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies http://stackoverflow.com/questions/29768219/grouped-barplot-in-r-with-error-bars of this site About Us Learn more about Stack Overflow the company Business Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 4.7 million programmers, just like you, helping each other. Join them; it only takes a error bar minute: Sign up Grouped barplot in R with error bars up vote 4 down vote favorite 1 Dear Stackoverflow users, I would like to draw a grouped barplot with error bars. Here is the kind of figure I have been able to get up to now, and this is ok for what I need: And here is my script: #create dataframe Gene<-c("Gene1","Gene2","Gene1","Gene2") bar chart with count1<-c(12,14,16,34) count2<-c(4,7,9,23) count3<-c(36,22,54,12) count4<-c(12,24,35,23) Species<-c("A","A","B","B") df<-data.frame(Gene,count1,count2,count3,count4,Species) df mean1<-mean(as.numeric(df[1,][c(2,3,4,5)])) mean2<-mean(as.numeric(df[2,][c(2,3,4,5)])) mean3<-mean(as.numeric(df[3,][c(2,3,4,5)])) mean4<-mean(as.numeric(df[4,][c(2,3,4,5)])) Gene1SpeciesA.stdev<-sd(as.numeric(df[1,][c(2,3,4,5)])) Gene2SpeciesA.stdev<-sd(as.numeric(df[2,][c(2,3,4,5)])) Gene1SpeciesB.stdev<-sd(as.numeric(df[3,][c(2,3,4,5)])) Gene2SpeciesB.stdev<-sd(as.numeric(df[4,][c(2,3,4,5)])) ToPlot<-c(mean1,mean2,mean3,mean4) #plot barplot plot<-matrix(ToPlot,2,2,byrow=TRUE) #with 2 being replaced by the number of genes! tplot<-t(plot) BarPlot <- barplot(tplot, beside=TRUE,ylab="count", names.arg=c("Gene1","Gene2"),col=c("blue","red")) #add legend legend("topright", legend = c("SpeciesA","SpeciesB"), fill = c("blue","red")) #add error bars ee<-matrix(c(Gene1SpeciesA.stdev,Gene2SpeciesA.stdev,Gene1SpeciesB.stdev,Gene2SpeciesB.stdev),2,2,byrow=TRUE)*1.96/sqrt(4) tee<-t(ee) error.bar(BarPlot,tplot,tee) The problem is that I need to do this for 50 genes, and 4 species, so my script is gonna get super super long and I guess this is not optimized... I tried to find help here but I can't figure out a better way to do what I'd like. If I did not need error bars I could adapt this script but the tricky part is to mix ggplot beautiful barplots and error bars! ;) If you have any idea to optimize my script, I would really appreciate! :) Thanks a lot! r ggplot2 bar-chart share|improve this question asked Apr 21 '15 at 9:32 tlorin 173213 1 beware by doing t(plot) you completely inversed the gene ;) –Colonel Beauvel Apr 21 '15 at 11:36 add a comment| 1 Answer 1 active oldest vot