R改变方面的顺序

R Changing Order of Facets

我正在尝试将构面的顺序从 BA、SLG 更改为 SLG、BA。我发现了类似的问题,但我认为我的解决方案可能行不通,因为我已经在 excel 中总结了数据;因此,我的数据框可能会有所不同。无论如何,我尝试实施此方法无济于事:

df2 <- factor(df, levels = c("SLG","BA"))

如能帮助解决此问题,我们将不胜感激。

df <- read.table(textConnection(
  'POS SLG BA
  2B    0.4632 .23
  3B    0.468652174 .24
  SS    0.4146 .22
  1B    0.472368421 .25
  RF    0.462684211 .245
  CF    0.4435 .225
  LF    0.4474 .226
  C 0.440875  .228
  DH    0.508714286 .28'), header = TRUE,stringsAsFactors = FALSE)


library(micromapST)
library(ggplot2)
library(tidyr)
library(dplyr)
df$POS <- reorder(as.factor(df$POS), df$SLG)
dfx <- gather(df, group, data, SLG, BA)
row.names(df) <- NULL

theme_set(theme_grey() +
            theme(plot.title = element_text(hjust=0.5,face='bold'),
                  axis.title.y = element_text(angle = 0, vjust = 0.5,face='bold'),
                  axis.title.x=element_text(face='bold'),
                  panel.background = element_rect(fill = "gray"),
                  axis.ticks=element_blank()))


plot <- ggplot(dfx, aes(x = data, y = POS, group = group, fill = POS))+
  labs(title = "Position vs Slugging Percentage", x = "SLG", y = "Position") + 
  geom_point(shape = 21, size = 3) + 
  theme(plot.title = element_text(hjust = 0.5),
        plot.subtitle = element_text(hjust = 0.5),
        plot.caption = element_text(hjust = -0.5),
        legend.position = "",
        strip.text.y = element_blank(),
        strip.background = element_rect(fill = rgb(.9,.95,1),
                                        colour = gray(.5), size=.2),
        panel.border = element_rect(fill = FALSE, colour=gray(.75)),
        panel.grid.minor.x = element_blank(),
        panel.grid.minor.y = element_blank(),
        panel.spacing.x = unit(0.07,"cm"),
        panel.spacing.y = unit(0.07,"cm"),
        axis.ticks = element_blank(),
        axis.text = element_text(colour = "black"),
        axis.text.y = element_text(size = rel(.78), face = "bold",
                                   margin = margin(0,0,0,3)),
        axis.text.x = element_text(margin = margin(-1,0,3,0))) +
  facet_grid(~group, scale = "free")

plot

dfx$group <- factor(dfx$group, levels = c("SLG","BA"))

因为你只有两个因子水平,你可以在你的 ggplot 代码中使用 forcats::fct_rev()(如果你已经加载了 tidyverse,则不需要加载 forcats)。

library(forcats)
# replace last line of code with
facet_grid( ~ fct_rev(group), scale = "free")

此页面上有很多很棒的解决方案。

这个建议建立在那些有细微差别的建议之上。根据 (1) 是否要更改基础数据(这通常很好,而且通常更容易 imputing/modeling 等)和 (2) 个人偏好,您也可以处理这个在 ggplot facet_grid() 本身内很容易。

# Factorize variable prior to plotting (from baptiste)
dx$group <- factor(dfx$group, levels = c("SLG", "BA"))

# Within the ggplot
# Update this code
facet_grid(~group, scale = "free")
# With this code
facet_grid(~factor(group, levels = c("SLG", "BA"), scale = "free")

当我不想更改底层数据时,我经常这样处理。