ggplot2_Error: geom_point requires the following missing aesthetics: y - r

Question

I am trying to run rWBclimate package in RStudio. I copied the below code from ROpenSci and pasted in RStudio. But I get error saying 'Don't know how to automatically pick scale for object of type list. Defaulting to continuous
Error: geom_point requires the following missing aesthetics: y
gbr.dat.t <- get_ensemble_temp("GBR", "annualavg", 1900, 2100)
## Loading required package: rjson
### Subset to just the median percentile
gbr.dat.t <- subset(gbr.dat.t, gbr.dat.t$percentile == 50)
## Plot and note the past is the same for each scenario
ggplot(gbr.dat.t,aes(x=fromYear,y=data,group=scenario,colour=scenario))
+ geom_point() +
geom_path() +
theme_bw() +
xlab("Year") +
ylab("Annual Average Temperature in 20 year increments")
I also tried to use geom_point(stat="identity") in the following way but didn't work:
ggplot(gbr.dat.t,aes(x=fromYear,y=data,group=scenario,colour=scenario))
+ geom_point(stat="identity") +
geom_path() +
theme_bw() +
xlab("Year") +
ylab("Annual Average Temperature in 20 year increments")
I still get the same message "Don't know how to automatically pick scale for object of type list. Defaulting to continuous
Error: geom_point requires the following missing aesthetics: y"
Also, the result from str(gbr.dat.t) is given below:
> str(gbr.dat.t)
'data.frame': 12 obs. of 6 variables:
$ scenario : chr "past" "past" "past" "past" ...
$ fromYear : int 1920 1940 1960 1980 2020 2020 2040 2040 2060 2060 ...
$ toYear : int 1939 1959 1979 1999 2039 2039 2059 2059 2079 2079 ...
$ data :List of 12
..$ : num 9.01
..$ : num 9.16
..$ : num 9.05
..$ : num 9.36
..$ : num 10
..$ : num 9.47
..$ : num 9.92
..$ : num 10.7
..$ : num 10.3
..$ : num 11.4
..$ : num 12.1
..$ : num 10.4
$ percentile: int 50 50 50 50 50 50 50 50 50 50 ...
$ locator : chr "GBR" "GBR" "GBR" "GBR" ...
Looking for your helpful answers.

Answer 1

Hope this helps. All I did was convert the gbr.dat.t$data to a numeric vector
library('rWBclimate')
library("ggplot2")
gbr.dat.t <- get_ensemble_temp("GBR", "annualavg", 1900, 2100)
## Loading required package: rjson
### Subset to just the median percentile
gbr.dat.t <- subset(gbr.dat.t, gbr.dat.t$percentile == 50)
#This is the line you were missing
gbr.dat.t$data <- unlist(gbr.dat.t$data)
## Plot and note the past is the same for each scenario
ggplot(gbr.dat.t,aes(x=fromYear,y=data,group=scenario,colour=scenario)) + geom_point() +
geom_path() +
theme_bw() +
xlab("Year") +
ylab("Annual Average Temperature in 20 year increments")