I am trying to create a graph with the following characteristics:
- x-axis: time and date
- y-axis: data
here you can download my dataframe: https://my.cloudme.com/josechka/data
I try to produce the graph using:
p <- ggplot(data,aes(x = Date, y = Var,group = 1))
+ geom_line()
+ scale_x_date(labels = date_format("%m/%d/%Y"))
+ scale_y_continuous(limits = c(0, 70000))
p
And I get the result:
Error: Invalid input: date_trans works with objects of class Date only
I am quite new in R and ggplot. What am I doing wrong?
As suggested you have to format the Date column into a Date
object.
data$Date<-as.Date(data$Date, format="%d/%m/%Y")
Now you can use your script in order to create the plot:
library("ggplo2")
library("scales")
p <- ggplot(data,aes(x = Date, y = Var,group = 1))
+ geom_line()
+ scale_x_date(labels = date_format("%m/%d/%Y"))
+ scale_y_continuous(limits = c(0, 70000))
p
And this is the resulting plot:
Thanks for the comments. They helped me to find out the solution. Both comments allow to represent my data. However, there is small problem: data from the same day is grouped and it is not possible to see the daily behaviour of the variable. I tested to format the Date column using the next command:
as.POSIXct(data$Date, format="%d/%m/%Y %H:%M:%S")
It worked out. However it is important to have the original data in the format d/m/Y h:m:s. Thanks very much for the comments which help me a lot to solve my problem.