R Plot Error Bars And Confidence Intervals
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boxplot to summarize distributions. Means and standard errors are calculated from the raw data using describe. Alternatively, plots of means +/- one standard plot error bars in r deviation may be drawn. Usage error.bars(x,stats=NULL, ylab = "Dependent Variable",xlab="Independent Variable",
Plot Mean And Standard Deviation In R
main=NULL,eyes=TRUE, ylim = NULL, xlim=NULL,alpha=.05,sd=FALSE, labels = NULL, pos = NULL, arrow.len = 0.05,arrow.col="black", add = FALSE,bars=FALSE,within=FALSE, col="blue",...) summaryse r Arguments x A data frame or matrix of raw data stats Alternatively, a data.frame of descriptive stats from (e.g., describe) ylab y label xlab x label main title for figure barplot with error bars r ylim if specified, the limits for the plot, otherwise based upon the data xlim if specified, the x limits for the plot, otherwise c(.5,nvar + .5) eyes should 'cats eyes' plots be drawn alpha alpha level of confidence interval – defaults to 95% confidence interval sd if TRUE, draw one standard deviation instead of standard errors at the alpha level
Ggplot2 Error Bars
labels X axis label pos where to place text: below, left, above, right arrow.len How long should the top of the error bars be? arrow.col What color should the error bars be? add add=FALSE, new plot, add=TRUE, just points and error bars bars bars=TRUE will draw a bar graph if you really want to do that within should the error variance of a variable be corrected by 1-SMC? col color(s) of the catseyes. Defaults to blue. ... other parameters to pass to the plot function, e.g., typ="b" to draw lines, lty="dashed" to draw dashed lines Details Drawing the mean +/- a confidence interval is a frequently used function when reporting experimental results. By default, the confidence interval is 1.96 standard errors of the t-distribution. If within=TRUE, the error bars are corrected for the correlation with the other variables by reducing the variance by a factor of (1-smc). This allows for comparisons between variables. The error bars are normally calculated from the data using the describe function. If, alternatively, a matrix of statistics is provided with column hea
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Ggplot Confidence Interval
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 Plot http://www.personality-project.org/r/html/error.bars.html 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 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=",") http://stackoverflow.com/questions/19797846/plot-mean-standard-deviation-standard-error-of-the-mean-and-confidence-interv $ 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 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 Se
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 http://stackoverflow.com/questions/13032777/scatter-plot-with-error-bars 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 6.2 million programmers, just like you, helping each other. Join them; it only takes a minute: Sign up Scatter plot error bars with error bars up vote 21 down vote favorite 11 How can I generate the following plot in R? Points, shown in the plot are the averages, and their ranges correspond to minimal and maximal values. I have data in two files (below is an example). x y 1 0.8773 1 0.8722 1 0.8816 1 0.8834 1 0.8759 1 0.8890 1 0.8727 2 0.9047 plot error bars 2 0.9062 2 0.8998 2 0.9044 2 0.8960 .. ... r plot share|improve this question edited Oct 23 '12 at 15:10 Roland 74.2k463103 asked Oct 23 '12 at 14:29 sherlock85 1521313 Since you clearly don't want a boxplot, I changed the title of your question in order to reflect what you really want. –Roland Oct 23 '12 at 15:11 1 also plotrix::plotCI, gplots::plotCI, library("sos"); findFn("{error bar}") –Ben Bolker Oct 23 '12 at 17:29 add a comment| 5 Answers 5 active oldest votes up vote 52 down vote accepted First of all: it is very unfortunate and surprising that R cannot draw error bars "out of the box". Here is my favourite workaround, the advantage is that you do not need any extra packages. The trick is to draw arrows (!) but with little horizontal bars instead of arrowheads (!!!). This not-so-straightforward idea comes from the R Wiki Tips and is reproduced here as a worked-out example. Let's assume you have a vector of "average values" avg and another vector of "standard deviations" sdev, they are of the same length n. Let's make the abscissa just the number of