R Error Bars Barplot
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Scatter Plot With Error Bars In R
@ Northbrook, Illinois, U.S.Junior statistician/demographer for UNICEF Popular Searches web scraping heatmap twitter maps time series animation boxplot shiny hadoop ggplot2 how to import image file to R trading finance latex eclipse rstudio excel SQL ggplot quantmod knitr googlevis PCA market research rattle regression map tutorial coplot rcmdr Recent Posts Election 2016: Tracking Emotions with errbar r R and Python Data science for executives and managers The Worlds Economic Data, Shiny Apps and all you want to know about Propensity Score Matching! August Package Picks Slack all the things! Warsaw R-Ladies Notes from the Kölner R meeting, 14 October 2016 anytime 0.0.4: New features and fixes 2016-13 ‘DOM’ Version 0.3 Building a package automatically The new R Graph Gallery Network Analysis Part 3 Exercises Annotated Facets with ggplot2 Paper published: mlr - Machine Learning in R a grim knight [cont’d] Other sites SAS blogs Jobs for R-users Bar plot with error bars in R October 20, 2013By heuristicandrew (This article was first published on Heuristic Andrew » r-project, and kindly contributed to R-bloggers) Here's a simple way to make a bar plot with error bars three ways: standard deviation, standard error of the mean, and a 95% confidence interval. The key step is to precalculate the statistics for ggplot2. Continue reading → Related To leave a comment for the a
Diet & Nutrition (28) Education (1) Evolution (35) Human Ecology (75) Infectious Disease (66) LaTeX (5) Primates (9) R (12) science (17) Social Network Analysis summaryse r (17) Statistics (16) Teaching (10) Uncategorized (28) Meta Log in Entries barplot with error bars matlab RSS Comments RSS WordPress.org ← Latest Swine Flu Epidemic Curve for the United States Stanford Workshop in r arrows Biodemography → Plotting Error Bars in R August 24th, 2009 · 52 Comments · R One common frustration that I have heard expressed about R is that there https://www.r-bloggers.com/bar-plot-with-error-bars-in-r/ is no automatic way 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) | http://monkeysuncle.stanford.edu/?p=485 length(y) !=length(lower) | length(lower) != length(upper)) 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 experi
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the http://stackoverflow.com/questions/29768219/grouped-barplot-in-r-with-error-bars workings and policies 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 http://docs.ggplot2.org/0.9.3.1/geom_errorbar.html Documentation Tags Users Badges Ask Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other. Join error bar 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 to now, and this is ok for what I need: with error bars 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 this question asked Apr 21 '15 at 9:32 tlorin 173213 1 beware by doing t(plot) you completely inversed the gene
needs to be set at the layer level if you are overriding the plot defaults. data A layer specific dataset - only needed if you want to override the plot defaults. stat The statistical transformation to use on the data for this layer. position The position adjustment to use for overlappling points on this layer ... other arguments passed on to layer. This can include aesthetics whose values you want to set, not map. See layer for more details. Description Error bars. Aesthetics geom_errorbar understands the following aesthetics (required aesthetics are in bold): x ymax ymin alpha colour linetype size width Examples # Create a simple example dataset df # Because the bars and errorbars have different widths # we need to specify how wide the objects we are dodging are dodge Mapping a variable to y and also using stat="bin". With stat="bin", it will attempt to set the y value to the count of cases in each group. This can result in unexpected behavior and will not be allowed in a future version of ggplot2. If you want y to represent counts of cases, use stat="bin" and don't map a variable to y. If you want y to represent values in the data, use stat="identity". See ?geom_bar for examples. (Deprecated; last used in version 0.9.2) p Mapping a variable to y and also using stat="bin". With stat="bin", it will attempt to set the y value to the count of cases in each group. This can result in unexpected behavior and will not be allowed in a future version of ggplot2. If you want y to represent counts of cases, use stat="bin" and don't map a variable to y. If you want y to represent values in the data, use stat="identity". See ?geom_bar for examples. (Deprecated; last used in version 0.9.2) p + geom_bar(position=dodge) + geom_errorbar(limits, position=dodge, width=0.25) Mapping a variable to y and also using stat="bin".