I have created a function lpnorm which returns a single value 'x' for every input.
for (t in 1:6){
M= data[t:(t+3), ]
lpnorm(M)
}
when i loop the function it produces the correct output, however the vectors all appear to be independent
[1] 0.0003370998
[1] 0.0003379513
[1] 0.0002855089
[1] 0.0003535439
[1] 0.0003683093
[1] 0.0003443804
Therefore when i try to plot the data:
for (t in 1:6){
M= data[t:(t+3), ]
plot(t, lpnorm(M))
}
They all appear on separate diagrams
With out a reproducible example you could do the following:
res <- matrix(NA, nrow=6, ncol=2) ##intitialize a matrix to store the results
for (t in 1:6){
M <- data[t:(t+3), ]
res[t, ] <- c(t, lpnorm(M)) #for each value of t we save the results in the res matrix
}
plot(res[,1], res[, 2])
The reason you are getting a plot for each value of lpnorm(M)
is because you are not saving the result of each iteration.
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