Split data based on column values and create scatter plot.

Question

I need to make a scatter plot for days vs age for the f group (sex=1) and make another scatter plot for days vs age for the m group (sex=2) using R

Answer 1

You can do this with the traditional R graphics functions like:

plot(age ~ days, Data[Data$sex == 1, ])
plot(age ~ days, Data[Data$sex == 2, ])

If you prefer to color the points rather than separate the plots (which might be easier to understand) you can do:

plot(age ~ days, Data, col=Data$sex)

However, this kind of plot would be especially easy (and better looking) using ggplot2:

library(ggplot2)
ggplot(Data, aes(x=days, y=age)) + geom_point() + facet_wrap(~sex)

Answer 2

spread splits data by column values. This is also called converting data from "long" to "wide".

I haven't tested this, but something like

spread(data, sex, age) 

should get you

days  1    2
 306  74   NA
 455  NA   67   
1000  55   NA
 505  65   NA
 399  NA   54   
 495  NA   66