In Example 1, I’ll show how to replicate the error message “Aesthetics must be either length 1 or the same as the data” in R. Have a look at the following R code: ggplot(data, aes(x, y, fill=c("red","blue")))+# Try to draw ggplot2 plotgeom_bar(stat="identity")# Error...
fisher_test(),pairwise_fisher_test()androw_wise_fisher_test(): Fisher's exact test for count data. Wrappers around the R base function fisher.test() but have the advantage of performing pairwise and row-wise fisher tests, the post-hoc tests following a significant chi-square test of homo...
make_clean_names(): Pipe-friendly function to make syntactically valid column names (for input data frame) or names (for input vector). counts_to_cases(): converts a contingency table or a data frame of counts into a data frame of individual observations 安装和加载 if(!require(devtools)) ...
(textsize = 4, tip_length = 0.01),#p值属性设置 #p.adjust.method = "bonferroni", ggplot.component = list(ggplot2::scale_y_continuous(sec.axis = ggplot2::dup_axis())), k = 3, title.prefix = "电影类别", caption = substitute(paste(italic("Source"), ": IMDb (Internet Movie Data...
set.seed(123) library(ggplot2) # plot ggstatsplot::ggbarstats( data = ggstatsplot::movies_long, x = mpaa, y = genre, sampling.plan = "jointMulti", title = "MPAA Ratings by Genre", xlab = "movie genre", legend.title = "MPAA rating", ggtheme = hrbrthemes::theme_ipsum_pub()...
# ENTER YOUR CODE BELOW THIS LINE # === ```{r Plot the Grand Mean} ggplot(aes(x = age,y=friend_count), data = subset(pf, !(year_joined.bucket))) + geom_line(aes(color=year_joined.bucket),stat='summary',fun.y=mean, shape=2) + # 将median换成mean geom_line(stat='summary...
library(ggplot2) # Basic barplot p<-ggplot(data=df, aes(x=dose, y=len)) + geom_bar(stat="identity") p # Horizontal bar plot p + coord_flip() Change the width and the color of bars : # Change the width of bars ggplot(data=df, aes(x=dose, y=len)) + geom_bar(stat="i...
g.labs <- ggplot2::labs(title= "Tail lengths distribution", x="tail length [units]", y= "normalized density", color=grouping_factor) g.values <- ggrepel::geom_text_repel(data=center_values,aes(x=round(!!rlang::sym(center_value)),y=length(data),color=!!rlang::sym(grouping_factor...
ggplot2需要装digest,gtable,MASS,plyr,reshape2(stringr(stringi,magritti)),scales(RColorBrewer,dichromat,munsell(colorspace),labelling) shiny需要装 qgraph需要装 psych: foreign和mnormt lavaan: quadprog和pbivnorm sem: matrixcalc,boot和mi(matrix(lattice)和arm(nlme,coda,abind和lme4(nloptr和minqa和Rcp...
This post explains how to build grouped, stacked and percent stacked barplot with R and ggplot2. It provides a reproducible example with code for each type.