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crossval_o2m_adjR2 error
Here are still some problems. When I use the function crossval_o2m_adjR2 or crossval_o2m, it reports as shown below
crossval_o2m(rna_e,pro_e, a = 1:2, ax = 1:2, ay = 1:2, nr_folds=2)
1: In (function (X, Y, n, nx, ny, stripped = FALSE, p_thresh = 3000, :
n + max(nx, ny) = 3 equals sample size
2: In (function (X, Y, n, nx, ny, stripped = FALSE, p_thresh = 3000, :
n + max(nx, ny) = 3 equals sample size
3: In loocv_combi(X, Y, e$a, ax[nxny[2]], ay[nxny[1]], app_err = app_err, :
Error in (function (X, Y, n, nx, ny, stripped = FALSE, p_thresh = 3000, :
n + max(nx, ny) = 4 exceed sample size N = 3
4: In loocv_combi(X, Y, e$a, ax[nxny[2]], ay[nxny[1]], app_err = app_err, :
Error in (function (X, Y, n, nx, ny, stripped = FALSE, p_thresh = 3000, :
n + max(nx, ny) = 4 exceed sample size N = 3
So I check the source code of o2m, I found that
if(nrow(X) < n + max(nx, ny))
stop("n + max(nx, ny) = ", n + max(nx, ny), " exceed sample size N = ",nrow(X))
if(nrow(X) == n + max(nx, ny))
warning("n + max(nx, ny) = ", n + max(nx, ny)," equals sample size")
you know my matrix was 6 rows(rna,pro), I use the params in cross_o2m_adjR2 is a=1:2,ax=1:2,ay=1:2, so the max value n+max(nx,ny) was 4, it could not exceed the sample size. If I use o2m function only as shown below
fit<-o2m(rna_e,pro_e,2,2,2)
it works well. So I think there is something wrong in the cross* function.
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