[英]How to plot data.frame with multiple columns in ggplot2?
I have a data frame that looks roughly like this: 我有一个大致如下所示的数据框:
aa <- c(1:7)
bb <- c(11:15)
df1 <- expand.grid(aa, bb)
val1 <- rnorm(nrow(df1))
val2 <- runif(nrow(df1))
df <- data.frame(df1, val1, val2)
names(df) <- c("aa", "bb", "val1", "val2")
What I want to do: For a fixed aa (say, 1), there is a time series of val1 and val2 for all values of bb. 我想做什么:对于固定的aa(例如1),对于bb的所有值都有一个时间序列val1和val2。 Now, I would like to plot these (for aa = 1 these are 5 for each val1 and val2) time series.
现在,我想绘制这些时间序列(对于aa = 1,每个val1和val2均为5)。 (so in total 7*5*2 time series)
(因此总共7 * 5 * 2时间序列)
How can I do this with ggplot2? 我该如何使用ggplot2?
I tried the following: 我尝试了以下方法:
require(ggplot2)
require(reshape2)
df_pl <- melt(df, id.vars = c("aa", "bb"), variable.name = 'val')
ggplot(df_pl, aes(aa, value)) + geom_point(aes(colour = val))
ggplot(df_pl, aes(bb, value)) + geom_point(aes(colour = val))
But this only produces plots of val1 and val2 as functions of aa and bb, not of a val1 / val2 series for each value of bb. 但这只会生成aa和bb的函数val1和val2的图,而不是每个bb值的val1 / val2系列的图。 I am probably using the melt function incorrectly
我可能使用了不正确的功能
I'm unsure if I understood you correctly and this is what you want to achieve, but maybe try: 我不确定我是否理解正确,这就是您想要实现的目标,但也许可以尝试:
ggplot(df_pl, aes(aa, value)) + geom_point(aes(colour = val)) + facet_wrap(~bb)
ggplot(df_pl, aes(bb, value)) + geom_point(aes(colour = val)) + facet_wrap(~aa)
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