I am asking for help with a ggplot2 program that has facets. There
are actually 100 facets in my program, but in the example below I
have limited the number to 3. There are two kinds of charts among the
facets. One kind is a simple line plot with all of the y-values
greater than zero. The facet for "A" in my example below is this
kind. The other kind is a line plot combined with a bar chart with
some of the y-values being positive and others negative. The facets
for "B" and "C" in my example are this kind.
The facets for "B" and "C" look the way I want them to. However the
facet for "A" has a scale on the y-axis that starts at zero, whereas
I would like the minimum value on this scale to be non-zero, chosen
by ggplot2 to be closer to the minimum value of y for that particular
facet.
My example may not be the most efficient way to achieve this, but it
works except for one aspect. Chart A, for which I do not wish to show
a zero line, does indeed not show a zero line but it nevertheless
chooses a scale for the y-axis that has a minimum value of zero. How
can I adjust the code so that it chooses a minimum value on the
y-axis that is non-zero and closer to the minimum actual y-value (as
would be the case for a simple line chart alone, without any facets)?
library(ggplot2)
library(dplyr)
df <- data.frame(
date=c(1,1,1,2,2,2,3,3,3,4,4,4,5,5,5,6,6,6),
nm=c("A","B","C","A","B","C","A","B","C","A","B","C","A","B","C","A","B","C"),
val0=c(NA,-5,4,NA,-3,3,NA,2,4,NA,3,3,NA,3,1,NA,-3,-4),
val1=c(NA,-3,6,NA,-1,4,NA,5,5,NA,7,2,NA,4,3,NA,-2,-2),
val2=c(50,NA,NA,53,NA,NA,62,NA,NA,56,NA,NA,54,NA,NA,61,NA,NA),
zline=c(NA,0,0,NA,0,0,NA,0,0,NA,0,0,NA,0,0,NA,0,0)
)
ggplot(df)+
geom_col(aes(x=date,y=val0),na.rm=TRUE,fill="white")+
geom_line(aes(x=date,y=val1))+
geom_line(aes(x=date,y=val2))+
geom_hline(aes(yintercept=zline),na.rm=TRUE)+
facet_wrap(~nm,scales="free_y")
Thank you for your assistance.
Philip
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