R 按日期排序箱线图
如何按日期排序 我的数据如下:R 按日期排序箱线图,r,sorting,date,dplyr,R,Sorting,Date,Dplyr,如何按日期排序 我的数据如下: list_mean_sd <- EXPIRING %>% group_by(EXPIRE_DATE) %>% summarize( mean = mean(TOTAL), sd = sd(TOTAL) ) %>% mutate( Date = format(as.Date(EXPIRE_DATE, "%m/%d/%y"), format="
list_mean_sd <- EXPIRING %>%
group_by(EXPIRE_DATE) %>%
summarize( mean = mean(TOTAL), sd = sd(TOTAL) ) %>%
mutate( Date = format(as.Date(EXPIRE_DATE, "%m/%d/%y"), format="%B %Y") )
EXPIRE_DATE是字符,所以我使用mutate创建了另一个true(DATE)列
我觉得我很接近,但我如何按降序或升序排序
EXPIRE_DATE mean sd Date
(chr) (dbl) (dbl) (chr)
1 04/30/17 56.75132 103.75048 April 2017
2 08/30/17 30.36706 46.12009 August 2017
3 08/31/17 42.84366 67.79964 August 2017
4 12/30/17 26.88593 23.60440 December 2017
5 12/31/17 38.67540 58.72461 December 2017
6 02/28/18 42.50570 63.91448 February 2018
7 01/30/18 28.60205 44.85719 January 2018
8 01/31/18 70.80121 134.13060 January 2018
9 07/31/17 45.45389 77.15242 July 2017
10 06/30/17 47.73592 81.88312 June 2017
11 05/30/17 46.38233 53.73065 May 2017
12 05/31/17 52.25520 88.89367 May 2017
13 11/30/17 39.27158 66.40248 November 2017
14 10/31/17 40.43197 71.51545 October 2017
15 09/30/17 43.12762 79.27168 September 2017
代码如下所示:
list_mean_sd <- EXPIRING %>%
group_by(EXPIRE_DATE) %>%
summarize( mean = mean(TOTAL), sd = sd(TOTAL) ) %>%
mutate( Date = format(as.Date(EXPIRE_DATE, "%m/%d/%y"), format="%B %Y") )
这就是我得到的
增加:
dput(head(list_mean_sd, 30))
structure(list(EXPIRE_DATE = c("01/30/18", "01/31/18",
"02/28/18", "04/30/17", "05/30/17", "05/31/17", "06/30/17", "07/31/17",
"08/30/17", "08/31/17", "09/30/17", "10/31/17", "11/30/17", "12/30/17",
"12/31/17"), mean = c(28.6020454545455, 70.8012116673021, 42.5057014558283,
56.751320667367, 46.3823270440252, 52.2552028540308, 47.7359164733179,
45.4538902012763, 30.3670622064929, 42.843660721111, 43.1276177589063,
40.4319721861389, 39.2715832825871, 26.8859251197214, 38.6753964550534
), sd = c(44.857189842357, 134.130597512432, 63.9144788499397,
103.750483732426, 53.7306532607393, 88.8936749200348, 81.8831227378872,
77.1524193002944, 46.1200886362958, 67.7996403857795, 79.2716764935199,
71.5154547562237, 66.4024797158997, 23.6044043594643, 58.7246098554578
), Date = c("January 2018", "January 2018", "February 2018",
"April 2017", "May 2017", "May 2017", "June 2017", "July 2017",
"August 2017", "August 2017", "September 2017", "October 2017",
"November 2017", "December 2017", "December 2017")), .Names = c("EXPIRE_DATE",
"mean", "sd", "Date"), class = c("tbl_df", "data.frame"), row.names = c(NA,
-15L))
更新了比赛讨论 您可以强制boxplot按您想要的顺序放置数据,方法是将数据设置为按您想要的方式排序的级别的因子
DateOrder = order(as.Date(list_mean_sd$EXPIRE_DATE, "%m/%d/%y"))
list_mean_sd$Date = factor(list_mean_sd$Date,
levels = unique(list_mean_sd$Date[DateOrder]))
boxplot(mean ~ Date, data = list_mean_sd, cex.axis=0.65)
DateOrder = order(as.Date(list_mean_sd$EXPIRE_DATE, "%m/%d/%y"))
list_mean_sd$Date = factor(list_mean_sd$Date,
levels = unique(list_mean_sd$Date[DateOrder]))
boxplot(mean ~ Date, data = list_mean_sd, cex.axis=0.65)