# Error bars represent standard error of the mean ggplot(tgc2, aes(x=dose, y=len, fill=supp)) + geom_bar(position=position_dodge(), stat="identity") + geom_errorbar(aes(ymin=len-se, ymax=len+se), width=.2, # Width of the error bars position=position_dodge(.9)) # Use 95...
2、ggplot2添加误差棒和均值(means and error bars) 2.1、默认添加折线图误差棒 #准备数据 tg <- ToothGrowth head(tg) # summarySE provides the standard deviation, standard error of the mean, and a (default 95%) confidence interval summarySE <- function(data=NULL, measurevar, groupvars=NULL, na....
ggplot(data = df, aes(x = category, y = value)) + geom_bar(stat = "identity", fill = "blue") + geom_errorbar(aes(ymin = value - error, ymax = value + error), width = 0.2, color = "red") + labs(title = "Barplot with Error Bars", x = "Category", y = "Value") 在...
library(plyr)# 下面的辅助函数将用于计算平均值和标准偏差data_summary<-function(data,varname,groupnames){require(plyr)summary_func<-function(x,col){c(mean=mean(x[[col]],na.rm=TRUE),sd=sd(x[[col]],na.rm=TRUE))}data_sum<-ddply(data,groupnames,.fun=summary_func,varname)data_sum<-rena...
I have a matrix and want to plot vertical error bars of the interquartile range and mean by column from the matrix. How do I do this in R especially ggplot2, please? A sample matrix is given below: ##Create matrixB=matrix(c(2,4,3,1,5,7,5,3,8,3,...
# This does the summary. For each group's data frame, return a vector with # N, mean, and sd datac <- ddply(data, groupvars, .drop=.drop, .fun = function(xx, col) { c(N = length2(xx[[col]], na.rm=na.rm), mean = mean (xx[[col]], na.rm=na.rm), ...
ggplot(tgc,aes(x=dose,y=len,colour=supp,group=supp))+geom_errorbar(aes(ymin=len-ci,ymax=len+ci),colour="black",width=.1,position=pd)+geom_line(position=pd)+geom_point(position=pd,size=3) A finished graph with error bars representing the standard error of the mean might look like ...
The mean +/- SD can be added as a crossbar , a error bar or a pointrange : p <- ggplot(df, aes(x=dose, y=len)) + geom_dotplot(binaxis='y', stackdir='center') # use geom_crossbar() p + stat_summary(fun.data="mean_sdl", fun.args = list(mult=1), geom="crossbar",...
I plotted this as a bar graph with error bars that use the standard deviation values. This is fine, except for the month where SD > mean. I was wondering if there was a way to make the bar appear with a lower limit just at 0 or something. I want it to look li...
(binaxis = "y", stackdir = "center") + geom_point(aes(y = value.mean), size = 3, color = "red") + geom_errorbar(aes(ymin = value.mean - value.sd, ymax = value.mean + value.sd), width = 0.2, color = "red") + labs(title = "DotPlot with Mean and Error Bars", ...