使用 ggplot2facetwrap R 的控制图

我有以下图表：

这是使用 dplyr 创建的group_by and summarise函数与ggplot2:

slopes %>%
   head(12) %>%
  inner_join(word_month_counts, by = "word") %>%
  mutate(word = reorder(word, -estimate)) %>%
  ggplot(aes(month, prop_per_month, color = word)) +
  geom_line(show.legend = FALSE,lwd=1.3) +
  geom_smooth(se=FALSE,lty=2)+
  facet_wrap(~ word, scales = "free_y") 

我想用控制图替换它，我已经看过了here https://stackoverflow.com/questions/33262335/convert-a-qicharts-plot-to-ggplot-using-r/34957468#34957468 and here https://www.r-bloggers.com/rewriting-plot-qcc-using-ggplot2-and-grid/但似乎无法锻炼如何在使用时合并facet_wrap

我一直在玩 qcc 和 qicharts，例如：

library(qicharts)

Datetime <- c("2015-09-29AM", "2015-09-29PM" ,"2015-09-30AM", "2015-09-30PM", "2015-10-01AM" ,"2015-10-01PM" 
              ,"2015-10-02AM", "2015-10-02PM" ,"2015-10-03AM" ,"2015-10-03PM", "2015-10-04AM" ,"2015-10-04PM" 
              ,"2015-10-05AM", "2015-10-05PM", "2015-10-06AM" ,"2015-10-06PM")
FailRate_M1 <- c(5045,4350,4350,3975,4290,4430,4485,4285,3980,3925,3645,3760,3300,3685,3463,5200)

df1 <- data.frame(Datetime,FailRate_M1)

qic(FailRate_M1,               
    x        = Datetime,              
    data     = df1,                  
    chart    = 'c',
    runvals  = TRUE,               
    cex      = 1.2,
    main     = 'Measurement Fail Rate (M1)', 
    ylab     = 'MFR (%)',          
    xlab     = 'Datetime')

任何指针或代码示例ggplot2 facet_wrap将不胜感激

你可以试试：

# as you provided no reproducible example, I added afactor gr for the facet.
df1 <- data.frame(Datetime,FailRate_M1, gr=gl(2,8) )

# calculate the cl, ucl and lcl per group
df2 <- lapply(split(df1, df1$gr), function(data){
  a <- qic(FailRate_M1,               
           x        = Datetime,              
           data     = data,                  
           chart    = 'c',
           runvals  = TRUE)
  cbind.data.frame(ucl=a$ucl,cl= a$cl, lcl= a$lcl)
})

# the final data.frame  
df3 <- cbind(df1, do.call(rbind,df2))  

# and the final plot
ggplot(df3, aes(x=Datetime, y=FailRate_M1, group=gr)) + 
  geom_line(show.legend = FALSE,lwd=1.3) +
  geom_line(aes(x=Datetime, y=ucl)) +
  geom_line(aes(x=Datetime, y=cl)) +
  geom_line(aes(x=Datetime, y=lcl)) +
  facet_wrap(~ gr, scales = "free_x")