预先为任何StackOverflow约定道歉我可能会在这里打破 - 这是我的第一篇文章!
我遇到了分面问题 - 特别是facet_wrap
制作的地块的顺序,它们没有跟随他们的标签'当我试图重新排序潜在因素时。
我的数据是我所在地区的停车场占用数据的大型CSV文件(如果有人需要,我可以将该链接到该页面作为评论,但我目前限制为每个帖子有2个链接,我以后需要它们! )。
# Separate interesting columns from df (obtained from CSV)
df3 <- df[!(df$Name == "test car park"), c("Name", "Percentage", "LastUpdate")]
# Convert LastUpdate to POSIXct and store in a new vector
updates <- as.POSIXct(df4$LastUpdate, format = "%d/%m/%Y %I:%M:%S %p",
tz = "UTC")
# Change every datatime to "time to nearest 10 minutes" (600 seconds)
times <- as.POSIXct(round(as.double(updates) / 600) * 600,
origin = as.POSIXlt("1970-01-01"), tz = "UTC")
decimal_times <- as.POSIXlt(times)$hour + as.POSIXlt(times)$min/60
# Change every datetime to weekday abbreviation
days <- format(updates, "%a")
# Add these new columns to our dataframe
df4 <- cbind(df3, "Day" = days, "Time" = decimal_times)
# Take average of Percentage over each time bin, per day, per car park
df5 <- aggregate(df4$Percentage,
list("Time" = df4$Time, "Day" = df4$Day, "Name" = df4$Name),
mean)
#####
# ATTEMPTED SOLUTION: Re-order factor (as new column, for plot comparison)
df5$Day1 <- factor(df5$Day, levels = c("Mon", "Tue", "Wed", "Thu",
"Fri", "Sat", "Sun"))
#####
这些是随后从df5
生成的图,分别带有facet_wrap(~ Day)
和facet_wrap(~ Day1)
:
注意刻面标签是如何更改的(根据需要) - 但是图表没有随之移动。谁能告诉我我做错了什么?提前谢谢!
注意:当Day
分面时,图表是正确的 - 因此当Day1
分面时当前不正确。
编辑:以下是生成图表的代码:
p <- ggplot(data = df5, aes(x = as.double(Time), y = df5$x, group = Name)) +
facet_wrap(~ Day) + labs(y = "Percentage occupancy", x = "Time (hour)") +
geom_line(aes(colour = Name)) +
guides(colour = guide_legend(override.aes = list(size = 3)))
p
第二个图中Day
的{{1}}已更改。
答案 0 :(得分:0)
您使用的factor
levels
重新排序似乎至少适用于这个小例子:
library(ggplot2)
dtf <- data.frame(day = c("Mon", "Tue", "Wed", "Thu",
"Fri", "Sat", "Sun"),
value = 1:7)
ggplot(dtf, aes(x = value, y = value)) +
geom_point() + facet_wrap(~day)
dtf$day1 <- factor(dtf$day, levels = c("Mon", "Tue", "Wed", "Thu",
"Fri", "Sat", "Sun"))
ggplot(dtf, aes(x = value, y = value)) +
geom_point() + facet_wrap(~day1)
让我们看一下数据框的结构:
str(dtf)
# 'data.frame': 7 obs. of 3 variables:
# $ day : Factor w/ 7 levels "Fri","Mon","Sat",..: 2 6 7 5 1 3 4
# $ value: int 1 2 3 4 5 6 7
# $ day1 : Factor w/ 7 levels "Mon","Tue","Wed",..: 1 2 3 4 5 6 7
值相同但系数级别的顺序已更改。