我正在创建一个我希望显示平均值的图。我已经设法显示平均值和相应的值,但是我发现这些图表太杂乱了,所以我想用ggrepel::geom_label_repel
来显示文本标签形式的方法。从数据点稍微移开一点。我尝试了一些不起作用的东西,如果有人可以帮我弄清楚如何能得到理想的结果,我会很感激。感谢。
library(ggplot2)
#> Warning: package 'ggplot2' was built under R version 3.4.3
library(ggrepel)
#> Warning: package 'ggrepel' was built under R version 3.4.2
# function to plot mean
fun_mean <- function(x) {
return(data.frame(
y = as.numeric(as.character(mean(x, na.rm = TRUE))),
label = as.numeric(as.character(mean(x, na.rm = TRUE)))
))
}
# preparing the basic plot
plot <-
ggplot2::ggplot(data = iris,
mapping = aes(x = Species, y = Sepal.Length)) +
geom_point(
position = position_jitterdodge(
jitter.width = NULL,
jitter.height = 0.2,
dodge.width = 0.75
),
alpha = 0.5,
size = 3,
aes(color = factor(Species))
) +
geom_violin(width = 0.5,
alpha = 0.2,
fill = "white") +
geom_boxplot(
width = 0.3,
alpha = 0.2,
fill = "white",
outlier.colour = "black",
outlier.shape = 16,
outlier.size = 3,
outlier.alpha = 0.7,
position = position_dodge(width = NULL)
) +
theme(legend.position = "none")
# add the mean label to the plot
plot <- plot +
stat_summary(
fun.y = mean,
geom = "point",
colour = "darkred",
size = 5
) +
stat_summary(
fun.data = fun_mean,
geom = "text",
vjust = -1.0,
size = 5
)
# see the plot
plot
# adding geom_label_repel
plot <-
plot +
ggrepel::geom_label_repel(
mapping = aes(label = mean),
fontface = 'bold',
color = 'black',
inherit.aes = FALSE,
max.iter = 3e2,
box.padding = 0.35,
point.padding = 0.5,
segment.color = 'grey50',
force = 2
)
plot # doesn't work :(
#> Don't know how to automatically pick scale for object of type function. Defaulting to continuous.
#> Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, : arguments imply differing number of rows: 0, 150
由reprex package创建于2018-02-10(v0.1.1.9000)。
答案 0 :(得分:1)
错误在于mapping = aes(label = mean)
中的ggrepel::geom_label_repel()
行。
您可以尝试以下操作:首先创建一个数据集,其中包含变量Species
的每个Sepal.Length
的平均值。
mean_dat <- aggregate(data = iris[, c(1, 5)], . ~Species, FUN = mean)
names(mean_dat) <- c("Species", "mean_label") # it is not necessary to rename the columns but it might avoid confusion
mean_dat
# Species mean_label
#1 setosa 5.006
#2 versicolor 5.936
#3 virginica 6.588
我们会将此数据集中的mean_label
列用作label
中的geom_label_repel(..., mapping = aes(label = mean_label))
参数,因此我们需要将mean_dat
传递给geom_label_repel
作为{{1}参数。
data