调整R中图形中的线条 [英] Adjust line in graph in R
本文介绍了调整R中图形中的线条的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
date2
生成散点图。此外,还会生成一条表示平均值的水平线。如您所见,一周中的每一天都有不同的含义。
请注意,在abline中我指定了h=mean_saturday
,因为10/4是星期六。但我不想总是更改页眉的这一部分来显示正确的中值线,但我的想法是自动保留它,即当我在代码中输入日期10/4/2021年时,代码已经识别出10日是星期六并插入适当的中值线。你知道怎么做吗?
library(dplyr)
library(ggplot2)
library(tidyr)
library(lubridate)
library(tibble)
df <- structure(
list(Id=c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1),
date1 = c("2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20",
"2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20",
"2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20",
"2021-07-20","2021-07-20","2021-07-20","2021-07-20"),
date2 = c("2021-07-01","2021-07-01","2021-07-01","2021-07-01","2021-04-02",
"2021-04-02","2021-04-02","2021-04-02","2021-04-02","2021-04-02","2021-04-03",
"2021-04-03","2021-04-03","2021-04-03","2021-04-03","2021-04-08","2021-04-08",
"2021-04-09","2021-04-09","2021-04-10","2021-04-10"),
Week= c("Thursday","Thursday","Thursday","Thursday","Friday","Friday","Friday","Friday",
"Friday","Friday","Saturday","Saturday","Saturday","Saturday","Saturday","Thursday",
"Thursday","Friday","Friday","Saturday","Saturday"),
D = c("","","Ho","","","","","","Ho","","","","","","","","","","","",""),
DR01 = c(2,1,4,3,3,4,1,6,3,7,2,3,4,6,7,8,4,2,6,2,3)),
class = "data.frame", row.names = c(NA, -21L))
mean_thursday=4
mean_friday=5
mean_saturday=6
scatter_date <- function(dt, dta = df) {
dta %>%
filter(date2 == ymd(dt)) %>%
summarize(across(starts_with("DR"), sum)) %>%
pivot_longer(everything(), names_pattern = "DR(.+)", values_to = "val") %>%
mutate(name = as.numeric(name)) %>%
plot(xlab = "Days", ylab = "Types", xlim = c(0, 7),
ylim = c((min(.$val) %/% 10) * 10, (max(.$val) %/% 10 + 1) * 15))
abline(h=mean_saturday, col='blue')
}
scatter_date("2021-04-10",df)
推荐答案
您可以尝试将scatter_date
函数中的输入日期转换为日期并获得工作日:my_day <- weekdays(as.Date(dt))
将其添加到您的均值的Switch语句中:
my_mean <- switch(
my_day,
"Saturday" = mean_saturday,
"Friday" = mean_friday,
"Thursday" = mean_thursday,
0) # add here your other days
并将abline(h=mean_saturday, col='blue')
中的mean_saturday
替换为my_mean
这里是完整的代码:
library(dplyr)
library(ggplot2)
library(tidyr)
library(lubridate)
library(tibble)
df <- structure(
list(Id=c(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1),
date1 = c("2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20",
"2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20",
"2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20","2021-07-20",
"2021-07-20","2021-07-20","2021-07-20","2021-07-20"),
date2 = c("2021-07-01","2021-07-01","2021-07-01","2021-07-01","2021-04-02",
"2021-04-02","2021-04-02","2021-04-02","2021-04-02","2021-04-02","2021-04-03",
"2021-04-03","2021-04-03","2021-04-03","2021-04-03","2021-04-08","2021-04-08",
"2021-04-09","2021-04-09","2021-04-10","2021-04-10"),
Week= c("Thursday","Thursday","Thursday","Thursday","Friday","Friday","Friday","Friday",
"Friday","Friday","Saturday","Saturday","Saturday","Saturday","Saturday","Thursday",
"Thursday","Friday","Friday","Saturday","Saturday"),
D = c("","","Ho","","","","","","Ho","","","","","","","","","","","",""),
DR01 = c(2,1,4,3,3,4,1,6,3,7,2,3,4,6,7,8,4,2,6,2,3)),
class = "data.frame", row.names = c(NA, -21L))
mean_thursday=4
mean_friday=5
mean_saturday=6
scatter_date <- function(dt, dta = df) {
my_day <- weekdays(as.Date(dt))
my_mean <- switch(
my_day,
"Saturday" = mean_saturday,
"Friday" = mean_friday,
"Thursday" = mean_thursday,
0) # add here your other days
dta %>%
filter(date2 == ymd(dt)) %>%
summarize(across(starts_with("DR"), sum)) %>%
pivot_longer(everything(), names_pattern = "DR(.+)", values_to = "val") %>%
mutate(name = as.numeric(name)) %>%
plot(xlab = "Days", ylab = "Types", xlim = c(0, 7), main = paste0(my_day, ":", my_mean),
ylim = c((min(.$val) %/% 10) * 10, (max(.$val) %/% 10 + 1) * 15))
abline(h=my_mean, col='blue')
}
# testing the different means
scatter_date("2021-04-10",df)
scatter_date("2021-04-9",df)
scatter_date("2021-04-8",df)
这篇关于调整R中图形中的线条的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
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