我有这些数据
df <- structure(list(IndID = structure(c(16L, 15L, 14L, 13L, 12L, 11L,
10L, 9L, 8L, 7L, 6L, 5L, 4L, 3L, 2L, 1L), .Label = c("16", "15",
"14", "13", "12", "11", "10", "9", "8", "7", "6", "5", "4", "3",
"2", "1"), class = "factor"), StartDate = structure(c(1313042400,
1312956000, 1313560800, 1363672800, 1374040800, 1374040800, 1374040800,
1374040800, 1374040800, 1374040800, 1374040800, 1365832800, 1365919200,
1366178400, 1395727200, 1395813600), class = c("POSIXct", "POSIXt"
)), EndDate = structure(c(1377928800, 1378015200, 1378015200,
1386572400, 1410760800, 1410760800, 1410760800, 1410674400, 1410760800,
1406959200, 1399356000, 1427868000, 1394517600, 1428213600, 1428040800,
1420959600), class = c("POSIXct", "POSIXt"))), .Names = c("IndID",
"StartDate", "EndDate"), row.names = c(NA, -16L), class = "data.frame")
IndID StartDate EndDate
1 1 2011-08-11 2013-08-31
2 2 2011-08-10 2013-09-01
3 3 2011-08-17 2013-09-01
4 4 2013-03-19 2013-12-09
5 5 2013-07-17 2014-09-15
6 6 2013-07-17 2014-09-15
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并且可以制作这个情节
library(lubridate)
require(gglopt2)
df$IndID <- factor(df$IndID, levels = rev(df$IndID))
p1 <- ggplot(df, aes(x=IndID, fill = IndID))+
geom_rect(aes(x = IndID, xmin = as.numeric(IndID) - 0.45, xmax = as.numeric(IndID) + 0.45, ymin = StartDate, ymax = EndDate))+
coord_flip()+
xlab("IndID")+
ylab("Time")+
ggtitle("Individual Monitoring Periods")+
geom_text(aes(y = StartDate + as.difftime(8, unit = "weeks"), label = paste(month(StartDate, label = T), year(StartDate), sep = "-"))) +
geom_text(aes(y = EndDate - as.difftime(9, unit = "weeks"), label = paste(month(EndDate, label = T), year(EndDate), sep = "-")))
p1
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此外,我想每年6月19日至10月19日之间遮蔽该地区.为此,我制作了一个data.frame日期,然后将其转换为新的POSIXct格式data.frame.(是的,这很笨重..)
temp <- data.frame(
start = as.Date(c('2011-06-19', '2012-06-19', '2013-06-19', '2014-06-19', '2015-06-19')),
end = as.Date(c('2011-10-19', '2012-10-19', '2013-10-19', '2014-10-19', '2015-10-19')))
str(temp)
dateRanges <- data.frame(
start = as.POSIXct(temp [,1], "%Y-%m-%d") + hours(6),
end = as.POSIXct(temp [,2], "%Y-%m-%d") + hours(6))
str(dateRanges)
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当我尝试使用以下代码将新矩形添加到绘图中时,我得到帖子标题中指示的错误.
p1 + geom_rect(data = dateRanges, aes(xmin = start , xmax = end, ymin = -Inf, ymax = Inf), inherit.aes= F, alpha = 0.4, fill = c("lightblue"))
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据我所知,通过查看dateRanges的str(),它们被正确格式化为POSIXct类.
您的问题是您coord_flip()在初次通话中遇到了麻烦。该图被翻转了,但是ggplot仍然认为x和y是原始的x和y。
因此,要解决此问题,只需aes在最后输入您的x和y即可geom_rect:
p1 + geom_rect(data = dateRanges, aes(ymin = start , ymax = end, xmin = -Inf, xmax = Inf), inherit.aes= F, alpha = 0.4, fill = c("lightblue"))
p1
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编辑:要使背后的酒吧需要一点点摆弄。首先,我们必须调用geom_rect,它使条形位于后面,然后将xmin和xmax从aes调用中移出,以避免弄乱因子的轴和水平:
p1 <- ggplot(df, aes(x=IndID, fill = IndID))+
geom_rect(data = dateRanges, aes(ymin = start, ymax = end), xmin = -Inf, xmax = Inf, alpha = 0.4, inherit.aes=FALSE, fill = "lightblue")+
geom_rect(data = df, aes(x = IndID, xmin = as.numeric(IndID) - 0.45, xmax = as.numeric(IndID) + 0.45, ymin = StartDate, ymax = EndDate))+
coord_flip()+
xlab("IndID")+
ylab("Time")+
ggtitle("Individual Monitoring Periods")+
geom_text(aes(y = StartDate + as.difftime(8, unit = "weeks"), label = paste(month(StartDate, label = T), year(StartDate), sep = "-"))) +
geom_text(aes(y = EndDate - as.difftime(9, unit = "weeks"), label = paste(month(EndDate, label = T), year(EndDate), sep = "-")))
p1
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