boxplot

changing layout of boxplot and adding labels to it

一笑奈何 提交于 2019-12-20 09:47:26
问题 I want to (got suggestion to do so) create boxplot with different look and added labels to it. The expected (not complete) output will look like the following (with every box has quatile labeles) and sample size. boxplot(len~supp*dose, data=ToothGrowth, notch=TRUE, col=(c("gold","darkgreen")), main="Tooth Growth", xlab="Suppliment and Dose", names = supp ) # some unsuccessful trials # to add names boxplot(len~supp*dose, data=ToothGrowth, notch=TRUE, col=(c("gold","darkgreen")), main="Tooth

create a boxplot in R that labels a box with the sample size (N)

瘦欲@ 提交于 2019-12-20 09:38:01
问题 Is there a way to create a boxplot in R that will display with the box (somewhere) an "N=(sample size)"? The varwidth logical adjusts the width of the box on the basis of sample size, but that doesn't allow comparisons between different plots. FWIW, I am using the boxplot command in the following fashion, where 'f1' is a factor: boxplot(xvar ~ f1, data=frame, xlab="input values", horizontal=TRUE) 回答1: Here's some ggplot2 code. It's going to display the sample size at the sample mean, making

In R, how to make a boxplot?

笑着哭i 提交于 2019-12-20 07:46:12
问题 My input table has two columns like this: x y 1 187 2 235 3 857 3 253 2 955 1 267 I want to make a boxplot of the y values for each individual x value. The x values are limited to 1, 2, 3. Here is my R code: data=read.table("input.txt") arr=array(dim=3) for (i in 1:3) { arr[i]=data[data.x==i,"y"] // This line raises warnings. } boxplot(arr) How to correct my code? 回答1: foo <- data.frame(x=rep(1:5,each=20),y=rnorm(100)) with(foo,boxplot(y~x)) 来源: https://stackoverflow.com/questions/30750049/in

Boxplot in R using ggplot2

时光总嘲笑我的痴心妄想 提交于 2019-12-20 06:08:04
问题 I'm new to R and have been trying to make a boxplot. A part of the data I'm using is shown h1 h2 h3 h4 h5 h6 h7 h8 h9 h10 1 0.003719430 0.002975544 0.003049933 0.003421876 0.003421876 0.003347487 0.003645042 0.003496264 0.007364472 0.009075410 2 0.003400540 0.002749373 0.003038781 0.003328188 0.003328188 0.003400540 0.003472892 0.003400540 0.007741656 0.009333398 3 0.003741387 0.002918282 0.003142765 0.003367248 0.003367248 0.003367248 0.003666559 0.003516904 0.008081396 0.008156223 4 0

Override lower, upper, etc. in boxplot while grouping

痞子三分冷 提交于 2019-12-20 04:25:18
问题 Per default, for the lower, middle and upper quantile in geom_boxplot the 25%-, 50%-, and 75%-quantiles are considered. These are computed from y , but can be set manually via the aesthetic arguments lower , upper , middle (providing also x , ymin and ymax and setting stat="identity" ). However, doing so, several undesirable effects occur (cf. version 1 in the example code): The argument group is ignored, so all values of a column are considered in calculations (for instance when computing

boxplot: order groups by the mean of a subset of each group

天涯浪子 提交于 2019-12-20 04:23:10
问题 Let's consider this data: df = data.frame('score'=round(runif(15, 1, 10)), 'group'=paste0("a",rep(c(1,2,3),each=5)), 'category'=rep(c("big", "big", "big", "big", "small"), 3)) I would like to plot boxplots of this data with ggplot2 . What i want is: boxplot(score~group), but with the boxplots arranged according to the mean of the "big" individuals of each group. I can't figure it out in a simple way, without creating new variables. OK to use Dplyr. Thanks. 回答1: I don't know if this qualifies

R ggplot2: boxplots with wilcoxon significance levels, and facets. Show only significant comparisons with asterisks

纵然是瞬间 提交于 2019-12-19 19:49:47
问题 Following up on this question and for the sake of completeness, I modified the accepted answer and customized the resulting plot, but I am still facing some important problems. To sum up, I am doing boxplots reflecting significance of Kruskal-Wallis and pairwise Wilcoxon test comparisons. I want to replace the p-value numbers with asterisks, and show only the significant comparisons, reducing vertical spacing to the max. Basically I want to do this, but with the added problem of facets, that

How to put Values on Boxplot in R for several boxplot in one image

与世无争的帅哥 提交于 2019-12-19 11:42:46
问题 I want to plot Delta~Project.Types in R. I have 10 Project Types. I know how to do the boxplot : boxplot(Delta~Project.Types). However, how can I put the fivenum (min, max, 1st, 2nd, and 3rd quantile) on each boxplot? How can I do for that every boxplot of the image will have its five number shown? That would be easier to compare the boxplots when the values are shown Thanks! 回答1: The stats you want can also be obtained with fivenum five <- by(InsectSprays$count, InsectSprays$spray, fivenum)

How to put Values on Boxplot in R for several boxplot in one image

江枫思渺然 提交于 2019-12-19 11:42:15
问题 I want to plot Delta~Project.Types in R. I have 10 Project Types. I know how to do the boxplot : boxplot(Delta~Project.Types). However, how can I put the fivenum (min, max, 1st, 2nd, and 3rd quantile) on each boxplot? How can I do for that every boxplot of the image will have its five number shown? That would be easier to compare the boxplots when the values are shown Thanks! 回答1: The stats you want can also be obtained with fivenum five <- by(InsectSprays$count, InsectSprays$spray, fivenum)

Plot multiple box-plots using columns of dataframe in R

梦想的初衷 提交于 2019-12-19 10:25:57
问题 I have a dataframe with a column of categorical data (two possible values) and multiple variable columns. I need to plot multiple box-plots, one for each variable column. Each plot compares the value of the variable between the two categorical groups given in column 1. So far I have it working by writing an individual plot call for each column. #CREATE DATASET mydata <- data.frame(matrix(rlnorm(30*10,meanlog=0,sdlog=1), nrow=30)) colnames(mydata) <- c("categ", "var1","var2", "var3","var4",