我試圖生成10對圖，每頁幾個圖，并使用for循環來構建對。但是，這些圖是作為單獨的圖而不是頁面發送到設備的。下面的MWE具有相同的基本圖形和ggplot版本結構，但基本圖形有效，ggplot但沒有。在第二個版本中，我需要做什么才能使分頁正確？library(ggplot2)attach(mtcars)# correct configurationpar(mfrow=c(2,2))for (ii in 1:3){ vars <- c("wt", "disp", "wt") plot(get(vars[ii]), mpg) hist(get(vars[ii]))}# places each on separate plotpar(mfrow=c(2,2))for (ii in 1:3){ vars <- c("wt", "disp", "wt") p <- ggplot(mtcars, aes(get(vars[ii]), mpg)) + geom_point(size=4) plot(p) p <- ggplot(mtcars, aes(get(vars[ii]))) + geom_histogram() plot(p)}detach(mtcars)
2 回答
撒科打諢
TA貢獻1934條經驗 獲得超2個贊
這是一種方法cowplot::plot_grid。該plot_duo函數使用tidyeval方法ggplot2 v3.0.0
# install.packages("ggplot2", dependencies = TRUE)
library(rlang)
library(dplyr)
library(ggplot2)
library(cowplot)
plot_duo <- function(df, plot_var_x, plot_var_y) {
if (is.character(plot_var_x)) {
print('character column names supplied, use ensym()')
plot_var_x <- ensym(plot_var_x)
} else {
print('bare column names supplied, use enquo()')
plot_var_x <- enquo(plot_var_x)
}
if (is.character(plot_var_y)) {
plot_var_y <- ensym(plot_var_y)
} else {
plot_var_y <- enquo(plot_var_y)
}
pts_plt <- ggplot(df, aes(x = !! plot_var_x, y = !! plot_var_y)) + geom_point(size = 4)
his_plt <- ggplot(df, aes(x = !! plot_var_x)) + geom_histogram()
duo_plot <- plot_grid(pts_plt, his_plt, ncol = 2)
}
### use character column names
plot_vars1 <- c("wt", "disp", "wt")
plt1 <- plot_vars1 %>% purrr::map(., ~ plot_duo(mtcars, .x, "mpg"))
#> [1] "character column names supplied, use ensym()"
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> [1] "character column names supplied, use ensym()"
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> [1] "character column names supplied, use ensym()"
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
plot_grid(plotlist = plt1, nrow = 3)
### use bare column names
plot_vars2 <- alist(wt, disp, wt)
plt2 <- plot_vars2 %>% purrr::map(., ~ plot_duo(mtcars, .x, "mpg"))
#> [1] "bare column names supplied, use enquo()"
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> [1] "bare column names supplied, use enquo()"
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
#> [1] "bare column names supplied, use enquo()"
#> `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
plot_grid(plotlist = plt2, nrow = 3)
要將圖分成多個頁面，我們可以使用gridExtra :: marrangeGrob
ml1 <- marrangeGrob(plt, nrow = 2, ncol = 1)
# Interactive use
ml1
# Non-interactive use, multipage pdf
ggsave("multipage.pdf", ml1)
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