Dear R-experts
Execuse me for an easy question, but I need help, sorry for that.
>From days I have been working with a large dataset, where operations are
needed within a component of dataset. Here is my question:
I have big dataset where x1:.....x1000 or so. What I need to do is to work
on 4 consequite variables to calculate a statistics and output. So far so
good. There are more vector operations inside function to do this. My
question this time is I want to do this seperately for each level of factor
(infollowing example it is Ped, thus if there are 20 ped, I want a output
with 20 statistics, so that I can work further on them).
#data generation
ped <- c(1,1,1,1,1, 1,1,1,1,1, 2,2,2,2,2, 2,2,2,2,2)# I have 20 ped
fd <- c(1,1,1,1,1, 2,2,2,2,2, 3,3,3,3,3, 4,4,4,4,4) # I have ~100 fd
iid <- c(1:20) # number can go up to 2000
mid <- c(0,0,1,1,1, 0,0,6,6,6, 0,0, 11,11,11, 0,0,16,16,16)
fid <- c(0,0,2,2,2, 0,0,7,7,7, 0,0, 12,12,12, 0,0,17, 17, 17)
y <- c(3,4,5,6,7, 3,4,8,9, 8, 2,3,3,6,7, 9,12,10,8,12)
x1 <- c(1,1,1,0,0, 1,0,1,1,0, 0, 1,1,0,1, 1, 1,1,0,0)
x2 <- c(1,1,1,0,0, 1,0,1,1,0, 0, 1,1, 1,0, 1,1,0,1,0)
x3 <- c(1,0,0,1,1, 1,1,1,1,1, 1, 1,1, 1,0, 1,1,0,1,0)
x4 <- c(1,1,1,1,0, 0,1,1, 0,0, 0, 1,0,0, 0, 0,0,1, 1,1)
# I have more X variables potentially >1000 but I need to work four at a
time
dataframe <- data.frame(ped, fd, iid, mid, fid, y, x1, x2, x3, x4)
myfun <- function(dataframe) {
namemat <- matrix(c(1:4), nrow = 1)
smyfun <- function(x) {
x <- as.vector(x)
K1 <- dataframe$x1 * 0.23
K2 <- dataframe$x2 * 0.98
# just example there is long vector calculations in read dataset
kt1 <- K1 * K2
kt2 <- K1 / K2
Qni <- (K1*(kt1-0.25)+ K2 *(kt2-0.25))
y <- dataframe$y
yg <- mean(y, na.rm= TRUE) # mean of trait Y # mean of trait Y
dvm <- (y-yg ) # deviation of phenotypic value from mean
sumdvm <-abs(sum(dvm, na.rm= TRUE))
yQni <- y* Qni
sumyQni <-abs(sum(yQni, na.rm= TRUE))
npt = ( sumdvm/ sumyQni)
return(npt)
}
npt1 <- apply(namemat,1, smyfun)
return(npt1)
}
myfun (dataframe)
My question is how can I automate the process so that the above function can
calculate different values for n levels (>20 in my real data) of factor ped.
Thanks in advance for the help. R-community is always helpful.
Umesh R
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