I have a large dataset, a sample of which is:
a<- c(“A”, “B”,“A”, “B”,“A”, “B”,“A”, “B”,“A”, “B”)
b <-c(15, 35, 20, 99, 75, 64, 33, 78, 45, 20)
c<- c( 111, 234, 456, 876, 246, 662, 345, 480, 512, 179)
d<- c(1.1, 3.2, 14.2, 8.7, 12.5, 5.9, 8.3, 6.0, 2.9, 9.3)
df <- data.frame(a,b,c,d)
I’m trying to construct a data frame that shows the means of c & b based on the
condition of d and grouped by a.
I want to create the data frame below, then use ggplot2 to create a line plot
of b at various conditions of d.
I can compute the grouped means (d>=2, d>=4, etc.) one at a time using dplyr
but haven’t figured out how to put them all together or put them in one data
frame.
I’d rather not use a loop and am relatively new to R. Is there a way i can use
tapply and set it to the conditions above so that I can create the df below?
condition mean(b) mean(c)
A d>=2 ____ _____
B d>=2 ____ _____
A d>=4 ____ _____
B d>=4 ____ _____
A d>=6 ____ _____
B d>=6 ____ _____
Ken
kmna...@gmail.com
914-450-0816 (tel)
347-730-4813 (fax)
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