我试图允许lapply访问我正在喂它的情节列表的名称.我看过其他一些看似非常相似的帖子,但仍不确定如何将列表的名称向量传递给它.
require(mlbench)
require(gridExtra)
require(dplyr)
require(ggplot2)
data(Soybean)
dfs <- lapply(Soybean, function(x) data.frame(table(x, exclude = NULL)))
display_charts <- function(x){
ggplot(data.frame(x) %>% select(x = 1, y = 2), aes(x = x, y = y)) +
geom_col(col = 'red',
fill = 'green',
alpha = 0.3) +
labs(title = names(x),
x = names(x),
y = 'Frequency')
}
all_charts <- lapply(dfs, display_charts)
n <- length(all_charts)
nCol <- floor(sqrt(n))
do.call("grid.arrange", c(all_charts, ncol=nCol))
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我试图通过调整lapply函数来调整display_charts函数来接受一个name参数,然后替换names(x)为name,然后创建一个名为的向量nms <- names(dfs),然后做,seq_along(dfs), display_charts, x = dfs, nm = nms但它不起作用.
此图为数据集生成6x6频率图的网格,但我希望标题为图的每个名称.我觉得这样看着我的脸,我看不到它.
而不是使用lapply遍历dfs长度的迭代列表,如果它与:
# Replaced `all_charts <- lapply(dfs, display_charts)` with:
all_charts <- lapply(seq_along(dfs), function(i) display_charts(dfs[i]))
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并且ggplot在display_charts()功能使用中输入,x[[1]]因为它仍然是一个列表:
display_charts <- function(x) {
library(ggplot2)
ggplot(x[[1]] %>% select(x = 1, y = 2), aes(x = x, y = y)) +
geom_col(col = 'red',
fill = 'green',
alpha = 0.3) +
labs(title = names(x),
x = names(x),
y = 'Frequency')
}
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