I have a CSV file that contains the following data:
user,Measurement1,Measurement2,Measurement3,group
1,0.1,0.7,0.2,3
2,0.3,0.3,0.4,2
3,0.3,0.3,0.4,2
I need to plot one line per each user. The x axis can be just 1,2,3 (one point per each measurement labeled as before,at,after, but I can work out the labeling later). The color will be set by the group columns I found a plot similar to the one I need but I don't want to use the user code as the x value.
ggplot
likes data in the 'long' format: i.e., a column for every dimension, and a row for every observation. Your data is currently 'wide'. Use the reshape
package to go from one to the other.
Do I understand correctly that you want Measurement1, Measurement2, and Measurement3 to be on the x-axis? (So that, in your data, user 1's line would go from 0.1 to 0.7 to 0.2? If so, you want something like this:
require(reshape)
#Recreate your data frame
user <- gl(3, 1)
Meas1 <- c(0.7, 0.3, 0.3)
Meas2 <- c(0.7, 0.3, 0.3)
Meas3 <- c(0.2, 0.4, 0.4)
group <- c(3, 2, 2)
df <- data.frame(user=user, Meas1=Meas1, Meas2=Meas2, Meas3=Meas3, group=group)
#'melt' the data frame into long format
dfm <- melt(df, id.vars=c("user", "group"))
ggplot(dfm, aes(x=as.numeric(variable), y=value, colour=user)) + geom_line()
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With