package = "RColorBrewer", # 颜色包 palette = "Pastel1", # 颜色集 title = "Dataset: Iris", # 标题 legend.title = "Species")+ # 图例标题 theme(plot.title = element_text(hjust = 0.5,size = 13)) # 标题居中及字体大小 4.8 ggbarstats 该函数可以绘制分类数据带统计检验的堆积直方图,得出...
AI代码解释 set.seed(123)ggpiestats(data=mtcars,x=am,y=cyl,package="wesanderson",palette="Royal1",title="Dataset: Motor Trend Car Road Tests",legend.title="Transmission") ggpiestats ggcoefstats grouped_ggbarstats 总之,ggstatsplot提供了一个方便而强大的工具来简化统计分析和数据可视化的过程。更多...
运行次数: devtools::install_github(repo="IndrajeetPatil/ggstatsplot",#packagepath on GitHub dependencies=TRUE,# installs packages which ggstatsplot depends on upgrade_dependencies=TRUE# updates any outofdate dependencies) 用某个基因在乳腺癌中突变类型和mRNA表达关系做了一个图,比较漂亮 代码语言:javascr...
ggstatsplot.layer = FALSE, # turn off `ggstatsplot` theme layer package = "wesanderson", # package from which color palette is to be taken palette = "Darjeeling1" # choosing a different color palette ) 效果图 三、参数grouping.var实现多种情形下的组间对比分析 # 可重复性设计 set.seed(123...
messagesggtheme = ggplot2::theme_gray(), # a different themepackage = "yarrr", # package from which color palette is to be takenpalette = "info2", # choosing a different color palettetitle = "Comparison of life expectancy across continents (Year: 2007)",caption = "Source: Gapminder ...
package="yarrr",# package from which color palette is to be taken palette="info2",# choosing a different color palette title="Comparison of life expectancy across continents (Year: 2007)", caption="Source: Gapminder Foundation" )+# modifying the plot further ...
我发现了ggstatsplot库,它看起来是一个很棒的工具。不幸的是,我不能让它运行。有什么想法或建议吗?我运行的是R版本3.6.3和R Studio版本1.3.1093 # > library(ggstatsplot) # Error: package or namespace load failed for ‘ggstatsplot’ in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()...
Decides whether marginal distributions will be plotted on axes usingggExtra::ggMarginal(). The default isTRUE. The packageggExtramust already be installed by the user. marginal.type Type of marginal distribution to be plotted on the axes ("histogram","boxplot","density","violin","densigram")...
9 outlier.tagging = TRUE,10 outlier.label = title,11 outlier.coef = 2,12 ggtheme = hrbrthemes::theme_ipsum_tw(),13 palette = "Darjeeling2",14 package = "wesanderson",15 messages = FALSE16)image.png image.png ggwithinstats组内⽐较 图还是⾮常美观，就不去细讲每个参数了...
package = "wesanderson", # package from which color palette is to be taken palette = "Darjeeling1", # choosing a different color palette messages = FALSE ) ggbetweenstats函数 ggbetweenstats函数的功能几乎与ggwithinstats相同。 # for reproducibility and data set.seed(123) data("iris") ggstats...