Hour_2$second_hour <- as.numeric(as.vector(hour_2$second_hour)) However, based on your dataframe, I would recommend to change your factor levels in numeric values by doing: hour_2$Strain <- as.numeric(as.vector(hour_2$Strain)) Regarding your issue with the order of the x axis, using the code of my answer and the reproducible example I provided (see below), I can't reproduce your issue (even if I transform Strain in factor levels before reshaping the dataframe): library(tidyr)ĭf$Strain % pivot_longer(., - Strain, names_to = 'Variable', values_to = 'Value') %>% Ggplot(aes(x = Strain, y = Value, color = Variable))+ You can use tidyr package and the function pivot_longer to reshape your data for ggplot2: library(tidyr)ĭf %>% pivot_longer(., - Strain, names_to = 'Variable', values_to = 'Value')Īnd then for plotting, you can pass it as a sequence of pipes library(tidyr)ĭf %>% pivot_longer(., - Strain, names_to = 'Variable', values_to = 'Value') %>% Lastly, how do I color code the 3 different explanatory values?

However the Y axis cannot be changed because its continuous, I do not want each value to be shown on the y axis. Then I plot ggplot(hour_2_melted, aes(Strain, value)) + geom_point() In my current attempt I first melt the dataframe using the following code: > hour_2_melted <- melt(hour_2, id.vars = 'Strain')Īttributes are not identical across measure variables they will be dropped I would like to plot in a scatterplot each explanatory value for each strain colored coded.

I have 1 independent variable 'Strain' for which I have 3 explanatory values.

I have troubles plotting a scatter plot for my data.

Multi scatter plots r