R Plot Means With Error Bars
Contents |
by over 573 bloggers. There are many ways to follow us - plot error bars in r By e-mail: On Facebook: If you are an R blogger yourself barplot with error bars r you are invited to add your own R content feed to this site (Non-English R bloggers should summaryse r add themselves- here) Jobs for R-usersStatistical Analyst @ Rostock, Mecklenburg-Vorpommern, GermanyData EngineerData Scientist – Post-Graduate Programme @ Nottingham, EnglandDirector, Real World Informatics & Analytics Data Science @
Ggplot2 Error Bars
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 R and scatter plot with error bars in r 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 Jobs for R-users SAS blogs Building Barplots with Error Bars August 17, 2015By Chris Wetherill (This article was first published on DataScience+, and kindly contributed to R-bloggers) Bar charts are a pretty common way to represent data visually, but constructing them isn't always the most intuitive thing in the world. One way that we can construct these graphs is using R's default packages. Barplots using base R Let's start by viewing our dataframe: here we will be finding the mean mi
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business Learn more about error.bar function r hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation Tags Users Badges Ask
Errbar R
Question x Dismiss Join the Stack Overflow Community Stack Overflow is a community of 6.2 million programmers, just like you, helping each other.
Calculate Standard Error In R
Join them; it only takes a minute: Sign up Plot mean, standard deviation, standard error of the mean, and confidence interval [closed] up vote -1 down vote favorite 1 I'm using R to plot statistical graphs. I can plot https://www.r-bloggers.com/building-barplots-with-error-bars/ simple graphs. However, I not have idea how to plot complex data. Someone could help me put together a chart with all this information? Excluding N (count). My dataset $ df <- read.csv("database.csv", header=TRUE, sep=",") $ df # df is 'data frame' # Gives count (N), mean, standard deviation (sd), standard error of the mean (se), # and confidence interval (ci) method N mean sd se ci 4 A 100 0.3873552 0.014513971 0.0014513971 0.002879887 6 B 100 0.3873552 http://stackoverflow.com/questions/19797846/plot-mean-standard-deviation-standard-error-of-the-mean-and-confidence-interv 0.014513971 0.0014513971 0.002879887 11 C 100 0.3873552 0.014513971 0.0014513971 0.002879887 12 D 100 0.3873552 0.014513971 0.0014513971 0.002879887 10 E 100 0.3757940 0.027337627 0.0027337627 0.005424378 1 F 100 0.3715910 0.006180728 0.0006180728 0.001226391 3 G 100 0.3642126 0.051949010 0.0051949010 0.010307811 5 H 100 0.3615370 0.006790384 0.0006790384 0.001347359 9 I 100 0.3589878 0.010288660 0.0010288660 0.002041493 13 J 100 0.3585191 0.030658287 0.0030658287 0.006083269 2 K 100 0.3570351 0.013531711 0.0013531711 0.002684985 7 L 100 0.3497304 0.078784858 0.0078784858 0.015632625 8 M 100 0.2994054 0.009305584 0.0009305584 0.001846430 I need a simple chart that contains all information of the dataset. Note: Count (N) and standard error of the mean (se) is not necessary. For example, how can I create a bar graph and add confidence interval? Other e.g.: r plot share|improve this question edited Nov 5 '13 at 20:35 asked Nov 5 '13 at 20:02 Alan Valejo 4902622 closed as too broad by Señor O, plannapus, ithcy, joran, David Nov 6 '13 at 16:19 There are either too many possible answers, or good answers would be too long for this format. Please add details to narrow the answer set or to isolate an issue that can be answered in a few paragraphs.If this question can be reworded to fit the rules in the help center, please edit the question. Have a look at docs.ggplot2.org/current/stat_summary.html –Metrics Nov 5 '13 at 20:04 I need a simple chart that conta
here for a quick overview of the site Help Center Detailed answers to any questions you might have Meta Discuss the workings and policies of this site About Us Learn more about Stack Overflow the company Business http://stackoverflow.com/questions/15063287/add-error-bars-to-show-standard-deviation-on-a-plot-in-r Learn more about hiring developers or posting ads with us Stack Overflow Questions Jobs Documentation http://monkeysuncle.stanford.edu/?p=485 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 them; it only takes a minute: Sign up Add error bars to show standard deviation on a plot in R up vote 23 down vote favorite 10 For each X-value I calculated error bars the average Y-value and the standard deviation (sd) of each Y-value x = 1:5 y = c(1.1, 1.5, 2.9, 3.8, 5.2) sd = c(0.1, 0.3, 0.2, 0.2, 0.4) plot (x, y) How can I use the standard deviation to add error bars to each datapoint of my plot? r plot statistics standard-deviation share|improve this question edited Oct 16 '14 at 3:43 Craig Finch 11417 asked Feb 25 '13 at 8:59 John Garreth 4572413 with error bars also see plotrix::plotCI –Ben Bolker Feb 25 '13 at 15:13 add a comment| 5 Answers 5 active oldest votes up vote 16 down vote accepted A Problem with csgillespie solution appears, when You have an logarithmic X axis. The you will have a different length of the small bars on the right an the left side (the epsilon follows the x-values). You should better use the errbar function from the Hmisc package: d = data.frame( x = c(1:5) , y = c(1.1, 1.5, 2.9, 3.8, 5.2) , sd = c(0.2, 0.3, 0.2, 0.0, 0.4) ) ##install.packages("Hmisc", dependencies=T) library("Hmisc") # add error bars (without adjusting yrange) plot(d$x, d$y, type="n") with ( data = d , expr = errbar(x, y, y+sd, y-sd, add=T, pch=1, cap=.1) ) # new plot (adjusts Yrange automatically) with ( data = d , expr = errbar(x, y, y+sd, y-sd, add=F, pch=1, cap=.015, log="x") ) share|improve this answer answered Sep 6 '13 at 14:21 R_User 3,20984683 add a comment| up vote 19 down vote A solution with ggplot2 : qplot(x,y)+geom_errorbar(aes(x=x, ymin=y-sd, ymax=y+sd), width=0.25) share|improve this answer answered Feb 25 '13 at 9:06 juba 24.3k56081 add a comment| up vote 18 down vote You can use segments to add the bars in base graphics. Here epsilon controls the line across the top and bottom of the line. plot (x, y, ylim=c(0, 6)) epsi
Diet & Nutrition (28) Education (1) Evolution (35) Human Ecology (75) Infectious Disease (66) LaTeX (5) Primates (9) R (12) science (17) Social Network Analysis (17) Statistics (16) Teaching (10) Uncategorized (28) Meta Log in Entries RSS Comments RSS WordPress.org ← Latest Swine Flu Epidemic Curve for the United States Stanford Workshop in 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 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) | 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 experiments: adjacent bars representing the treatment and the control with 95% confidence intervals on the estimates of the means. The trick here is to create a 2 x n matrix of your bar values, where each row holds the values to be compared (e.g., treatment vs. control, male vs. female, etc.). Let's look at our same Gaussian means but now compare them to a Gaussian