R改变方面的顺序

Rem*_*y M 4 r facet ggplot2

我试图改变从BA,SLG到SLG,BA的方面的顺序.我发现了与此类似的问题,但我认为我的解决方案可能无法正常工作,因为我已经在excel中汇总了数据; 因此,我的数据框可能不同.无论如何,我试图实现这个无济于事:

df2 <- factor(df, levels = c("SLG","BA"))
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任何帮助解决这个问题将非常感激.

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
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图片

bap*_*ste 12

dfx$group <- factor(dfx$group, levels = c("SLG","BA"))
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Joe*_*Joe 8

由于您只有两个因子级别,您可以forcats::fct_rev()在 ggplot 代码中使用(forcats如果您tidyverse已经加载,则无需加载)。

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