Bar Chart In R With Error Bars
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error bars Two within-subjects variables Note about normed means Helper functions Problem You want bar chart with error bars stata to plot means and error bars for a dataset. bar chart with error bars matlab Solution To make graphs with ggplot2, the data must be in a data frame, bar chart with error bars excel and in “long” (as opposed to wide) format. If your data needs to be restructured, see this page for more information. Sample data The
How To Insert Error Bars In Excel Mac
examples below will the ToothGrowth dataset. Note that dose is a numeric column here; in some situations it may be useful to convert it to a factor. tg <- ToothGrowth head(tg) #> len supp dose y error bars #> 1 4.2 VC 0.5 #> 2 11.5 VC 0.5 #> 3 7.3 VC 0.5 #> 4 5.8 VC 0.5 #> 5 6.4 VC 0.5 #> 6 10.0 VC 0.5 library(ggplot2) First, it is necessary to summarize the data. This can be done in a number of ways, as described on this page. In this case, we’ll use the summarySE() function defined on that page, and also at the bottom of this page. (The code for the summarySE function must be entered before it is called here). # summarySE provides the standard deviation, standard error of the mean, and a (default 95%) confidence interval tgc <- summarySE(tg, measurevar="len", groupvars=c("supp","dose"
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Error.bar Function R
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Barplot With Error Bars Matlab
Error Bars in R August 24th, 2009 · 52 Comments · R One common frustration that I have heard expressed about R is that there is no automatic way http://cookbook-r.com/Graphs/Plotting_means_and_error_bars_(ggplot2)/ to plot error 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)) http://monkeysuncle.stanford.edu/?p=485 stop("vectors must be same length") 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
here for a quick overview of the site Help Center Detailed answers to any questions you might have http://stackoverflow.com/questions/29768219/grouped-barplot-in-r-with-error-bars Meta Discuss the workings and policies of this site About Us https://plot.ly/r/error-bars/ 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, error bars just like you, helping each other. Join them; it only takes a 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 with error bars to now, and this is ok for what I need: And here is my script: #create dataframe Gene<-c("Gene1","Gene2","Gene1","Gene2") 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 t
Build charts in a breeze with our online editor. Real-time Support. Get instant chat support from our awesome engineering team. plotly Pricing PLOTCON NYC API Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Feed Pricing Make a Chart API Sign In SIGN UP + NEW PROJECT UPGRADE REQUEST DEMO Show Sidebar Hide Sidebar Help API Libraries R Error Bars Fork on Github Navigation Back to R Error Bars in R How to add error bars to scatter plots in R. R matplotlib Python plotly.js Pandas node.js MATLAB Error Bars library(dplyr) library(plotly) p <- ggplot2::mpg %>% group_by(class) %>% summarise(mn = mean(hwy), sd = 1.96 * sd(hwy)) %>% arrange(desc(mn)) %>% plot_ly(x = class, y = mn, error_y = list(array = sd), mode =