R语言绘图指定类别筛选失效及图表标题调整问题求助

问题原因 #

• 函数入参被硬编码覆盖：f1函数内部开头强制重定义了dmda和CodeChosse为固定值，导致外部传入的参数完全失效
• 绘图数据集未做Code筛选：生成datas时仅过滤了指定日期，未添加Code == CodeChosse的筛选条件，导致同日期下所有类别的数据都被纳入绘图范围
• 标题变量引用错误：绘图标题中引用的Code是数据集的列字段，而非你指定要筛选的CodeChosse参数
• 函数调用传参错误：调用f1时传入了仅在函数内部存在的变量datas，而非要求的日期、Code入参

修复后完整代码 #

library(dplyr)
library(tidyverse)
library(lubridate)

df1 <- structure(
  list(date1= c("2021-06-28","2021-06-28","2021-06-28","2021-06-28","2021-06-28",
                "2021-06-28","2021-06-28","2021-06-28"),
       date2 = c("2021-06-30","2021-06-30","2021-07-02","2021-07-07","2021-07-07","2021-07-09","2021-07-09","2021-07-09"),
       Code = c("FDE","ABC","ABC","ABC","CDE","FGE","ABC","CDE"),
       Week= c("Wednesday","Wednesday","Friday","Wednesday","Wednesday","Friday","Friday","Friday"),
       DR1 = c(4,1,4,3,3,4,3,5),
       DR01 = c(4,1,4,3,3,4,3,6), DR02= c(4,2,6,7,3,2,7,4),DR03= c(9,5,4,3,3,2,1,5),
       DR04 = c(5,4,3,3,6,2,1,9),DR05 = c(5,4,5,3,6,2,1,9),
       DR06 = c(2,4,3,3,5,6,7,8),DR07 = c(2,5,4,4,9,4,7,8),
       DR08 = c(0,0,0,1,2,0,0,0),DR09 = c(0,0,0,0,0,0,0,0),DR010 = c(0,0,0,0,0,0,0,0),DR011 = c(4,0,0,0,0,0,0,0), 
       DR012 = c(0,0,0,3,0,0,0,5),DR013 = c(0,0,1,0,0,0,2,0),DR014 = c(0,0,0,0,0,2,0,0)),
  class = "data.frame", row.names = c(NA, -8L))

f1 <- function(dmda, CodeChosse) {
  x<-df1 %>% select(starts_with("DR0"))
  x<-cbind(df1, setNames(df1$DR1 - x, paste0(names(x), "_PV")))
  PV<-select(x, date2,Week, Code, DR1, ends_with("PV"))
  med<-PV %>%
    group_by(Code,Week) %>%
    summarize(across(ends_with("PV"), median))
  
  SPV<-df1%>%
    inner_join(med, by = c('Code', 'Week')) %>%
    mutate(across(matches("^DR0\\d+$"), ~.x + 
                    get(paste0(cur_column(), '_PV')),
                  .names = '{col}_{col}_PV')) %>%
    select(date1:Code, DR01_DR01_PV:last_col())
  SPV<-data.frame(SPV)
  
  mat1 <- df1 %>%
    filter(date2 == dmda, Code == CodeChosse) %>%
    select(starts_with("DR0")) %>%
    pivot_longer(cols = everything()) %>%
    arrange(desc(row_number())) %>%
    mutate(cs = cumsum(value)) %>%
    filter(cs == 0) %>%
    pull(name)
  dropnames <- paste0(mat1,"_",mat1, "_PV")
  
  SPV %>%
    filter(date2 == dmda, Code == CodeChosse) %>%
    select(-any_of(dropnames))
  
  # 新增Code筛选条件，仅保留指定类别数据
  datas<-SPV %>%
    filter(date2 == ymd(dmda), Code == CodeChosse) %>%
    group_by(Code) %>%
    summarize(across(starts_with("DR0"), sum)) %>%
    pivot_longer(cols= -Code, names_pattern = "DR0(.+)", values_to = "val") %>%
    mutate(name = readr::parse_number(name))
  colnames(datas)[-1]<-c("Days","Numbers")
  
  datas <- datas %>% 
    group_by(Code) %>% 
    slice((as.Date(dmda) - min(as.Date(df1$date1) [
      df1$Code == first(Code)])):max(Days)+1) %>%
    ungroup
  
  # 标题引用入参CodeChosse，修正显示内容
  plot(Numbers ~ Days,  xlim= c(0,45), ylim= c(0,30),
       xaxs='i',data = datas,main = paste0(dmda, "-", CodeChosse))
  model <- nls(Numbers ~ b1*Days^2+b2,start = list(b1 = 0,b2 = 0),data = datas, algorithm = "port")
  
  new.data <- data.frame(Days = with(datas, seq(min(Days),max(Days),len = 45)))
  new.data <- rbind(0, new.data)
  lines(new.data$Days,predict(model,newdata = new.data),lwd=2)
  coef<-coef(model)[2]
  points(0, coef, col="red",pch=19,cex = 2,xpd=TRUE)
  text(.99,coef + 1,max(0, round(coef,1)), cex=1.1,pos=4,offset =1,col="black")
}

# 修正函数调用参数，直接传入日期和指定Code
f1("2021-07-09", "FGE")

修复效果 #

仅会绘制日期为2021-07-09、Code为FGE的散点与拟合预测线，标题同步显示为2021-07-09-FGE，符合预期需求。

内容的提问来源于stack exchange，提问作者user16774617