R date_在ggplot中打断{scales}移动日期刻度
如以下样本数据集所示,日期介于2015-01-01和2015-08-01之间。但是,当我使用R date_在ggplot中打断{scales}移动日期刻度,r,datetime,ggplot2,R,Datetime,Ggplot2,如以下样本数据集所示,日期介于2015-01-01和2015-08-01之间。但是,当我使用date\u breaks功能时,x轴上的月份标签会移动。你能提出一个解决方案吗 dfn <- read.table(header=T, text=' supp p_date length OJ 2015-01-01 13.23 OJ 2015-03-01 22.70 OJ 2015-08-01 26.06 VC 2015-01-01 7.98 VC 2015-03-01 16
date\u breaks
功能时,x轴上的月份标签会移动。你能提出一个解决方案吗
dfn <- read.table(header=T, text='
supp p_date length
OJ 2015-01-01 13.23
OJ 2015-03-01 22.70
OJ 2015-08-01 26.06
VC 2015-01-01 7.98
VC 2015-03-01 16.77
VC 2015-08-01 26.14
')
dfn$p_date <- as.Date(dfn$p_date, "%Y-%m-%d")
library(ggplot2)
library(scales)
ggplot(dfn, aes(as.POSIXct(p_date), length, colour = factor(supp))) +
geom_line(size=1.3) +
labs(colour="Lines :", x = "", y = "") +
guides(colour = guide_legend(override.aes = list(size=5))) +
scale_x_datetime(breaks = date_breaks("1 months"),labels = date_format("%m/%y"))
只需使用
缩放x\u日期
而不是缩放x\u日期时间
:
ggplot(dfn, aes(p_date, length, colour = factor(supp))) +
geom_line(size=1.3) +
labs(colour="Lines :", x = "", y = "") +
guides(colour = guide_legend(override.aes = list(size=5))) +
scale_x_date(breaks = date_breaks("1 months"),labels = date_format("%m/%y"))
我注意到日期格式存在类似(但不完全相同)的问题,这似乎是由于在使用date\u format()中使用的格式时使用了时区
你的底图
library(ggplot2)
library(scales)
p <- ggplot(dfn, aes(as.POSIXct(p_date), length, colour = factor(supp))) +
geom_point(size=3) +
geom_line(size=1.3) +
labs(colour="Lines :", x = "", y = "") +
guides(colour = guide_legend(override.aes = list(size=5))) +
theme(axis.text.x=element_text(size=15))
p + scale_x_datetime(breaks = date_breaks("1 month"),
labels = date_format("%m/%Y"))
您可以编写自己的格式函数,使其不包含任何时区信息
my_format <- function (format = "%Y-%m-%d") {
function(x) format(x, format)
}
这种格式的行为更像我所期望的
my_format()(date_breaks()(as.POSIXct(dfn$date2[c(1,3)])))
#[1] "2015-01-01" "2015-02-01" "2015-03-01" "2015-04-01" "2015-05-01" "2015-06-01"
#[7] "2015-07-01" "2015-08-01" "2015-09-01"
因此,这并不是一个真正的解释,因为我对POSIX函数的理解是微乎其微的,但确实提出了解决方法
> sessionInfo()
R version 3.2.2 (2015-08-14)
Platform: i686-pc-linux-gnu (32-bit)
Running under: Ubuntu 14.04.3 LTS
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
[4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] datasets utils stats graphics grDevices grid methods base
other attached packages:
[1] scales_0.3.0 data.table_1.9.6 Hmisc_3.17-0 Formula_1.2-1 survival_2.38-3
[6] lattice_0.20-33 MASS_7.3-44 gridExtra_2.1.0 ggplot2_1.0.1.9003
loaded via a namespace (and not attached):
[1] Rcpp_0.12.1 digest_0.6.8 chron_2.3-47 plyr_1.8.3 gtable_0.1.2
[6] acepack_1.3-3.3 latticeExtra_0.6-26 rpart_4.1-10 labeling_0.3 proto_0.3-10
[11] splines_3.2.2 RColorBrewer_1.1-2 tools_3.2.2 foreign_0.8-66 munsell_0.4.2
[16] colorspace_1.2-6 cluster_2.0.3 nnet_7.3-11
如果我复制/粘贴你的代码,那不是我得到的图。你确定这就是你看到的输出吗?是的,我是……(我编辑了以包括库)as.POSIXct(dfn$p_date)
返回给你什么?[1]“2015-01-01 02:00:00 EET”“2015-03-01 02:00:00 EET”[3]“2015-08-01 03:00:00 EET”“2015-01-01 02:00:00 EET”“2015-03-03-01 02:00:00 EET”似乎正在更改为日期格式(“%m/%Y”,tz=“EET”)
提供了正确的标签,但我不知道它会有多强大(GMT和BST仍然显示(对我来说)意外的结果)。我认为您在时区问题上是对的。在我发现timzone问题之前,我在图表数据中也有类似的奇怪的时间变化。用法是date\u格式(format=“%Y-%m-%d”,tz=“UTC”)
,因此除非您覆盖tz,否则日期将始终显示在UTC时区中。
p + scale_x_datetime(breaks = date_breaks("1 month"),
labels = my_format("%m/%Y"))
my_format()(date_breaks()(as.POSIXct(dfn$date2[c(1,3)])))
#[1] "2015-01-01" "2015-02-01" "2015-03-01" "2015-04-01" "2015-05-01" "2015-06-01"
#[7] "2015-07-01" "2015-08-01" "2015-09-01"
> sessionInfo()
R version 3.2.2 (2015-08-14)
Platform: i686-pc-linux-gnu (32-bit)
Running under: Ubuntu 14.04.3 LTS
locale:
[1] LC_CTYPE=en_GB.UTF-8 LC_NUMERIC=C LC_TIME=en_GB.UTF-8
[4] LC_COLLATE=en_GB.UTF-8 LC_MONETARY=en_GB.UTF-8 LC_MESSAGES=en_GB.UTF-8
[7] LC_PAPER=en_GB.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_GB.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] datasets utils stats graphics grDevices grid methods base
other attached packages:
[1] scales_0.3.0 data.table_1.9.6 Hmisc_3.17-0 Formula_1.2-1 survival_2.38-3
[6] lattice_0.20-33 MASS_7.3-44 gridExtra_2.1.0 ggplot2_1.0.1.9003
loaded via a namespace (and not attached):
[1] Rcpp_0.12.1 digest_0.6.8 chron_2.3-47 plyr_1.8.3 gtable_0.1.2
[6] acepack_1.3-3.3 latticeExtra_0.6-26 rpart_4.1-10 labeling_0.3 proto_0.3-10
[11] splines_3.2.2 RColorBrewer_1.1-2 tools_3.2.2 foreign_0.8-66 munsell_0.4.2
[16] colorspace_1.2-6 cluster_2.0.3 nnet_7.3-11