I have double-y-axis
chart made in Excel
. In Excel it requires only basic skills. What I'd like to do is to replicate this chart using the ggplot2
library in R
.
I have already done this, but I need to plot Response on 2nd-y-axis
.
I enclose reproducible code I've used:
#Data generation Year <- c(2014, 2015, 2016) Response <- c(1000, 1100, 1200) Rate <- c(0.75, 0.42, 0.80) df <- data.frame(Year, Response, Rate) #Chart library(ggplot2) ggplot(df) + geom_bar(aes(x=Year, y=Response),stat="identity", fill="tan1", colour="sienna3")+ geom_line(aes(x=Year, y=Rate),stat="identity")+ geom_text(aes(label=Rate, x=Year, y=Rate), colour="black")+ geom_text(aes(label=Response, x=Year, y=0.9*Response), colour="black")
Click anywhere in the chart you want to change to a combo chart to show the CHART TOOLS. Click DESIGN > Change Chart Type. On the All Charts tab, choose Combo, and then pick the Clustered Column - Line on Secondary Axis chart.
In the chart, select the data series that you want to add a line to, and then click the Chart Design tab. For example, in a line chart, click one of the lines in the chart, and all the data marker of that data series become selected. Click Add Chart Element, and then click Gridlines.
First, scale Rate
by Rate*max(df$Response)
and modify the 0.9
scale of Response text.
Second, include a second axis via scale_y_continuous(sec.axis=...)
:
ggplot(df) + geom_bar(aes(x=Year, y=Response),stat="identity", fill="tan1", colour="sienna3")+ geom_line(aes(x=Year, y=Rate*max(df$Response)),stat="identity")+ geom_text(aes(label=Rate, x=Year, y=Rate*max(df$Response)), colour="black")+ geom_text(aes(label=Response, x=Year, y=0.95*Response), colour="black")+ scale_y_continuous(sec.axis = sec_axis(~./max(df$Response)))
Which yields:
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