Hi,
& leads to logical(0) whereas && leads to FALSE for example in

Hello,

I'm not sure if this is due to something I am doing, but I am trying to follow along with the example from your Journal of Statistical Software paper, but I am using my own dataset as the one in the paper seems to not be available. I hit a problem when I try to use peperr to create prediction error curves with this code:

obj <- peperr(response = Surv(sample$fu_time, sample$outcome),
x = mat, fit.fun = fit.glmnet,
args.fit = list(standardize = FALSE, family = "cox",
penalty.factor = rep(1, times = c(dim(mat)[1]))),
complexity = complexity.glmnet,
args.complexity = list(standardize = FALSE, nfolds = 10,
family = "cox", penalty.factor = rep(1, times = c(dim(mat)[1]))),
RNG = "fixed", seed = 0815, cpus = 3, parallel = TRUE,
clustertype = "SOCK", load.list = list(packages = "c060"),
indices = resample.indices(n = dim(mat)[2], sample.n = 1000,
method = "sub632"))

which is just the code you provide on pages 10-11 of the manuscript, modified to reflect my dataset. When I run this I get the following error:

Explicit sfStop() is missing: stop now.
snowfall 1.84-6.1 initialized (using snow 0.4-3): parallel execution on 3 CPUs.

Library peperr loaded.
Library peperr loaded in cluster.

Library c060 loaded.
Library c060 loaded in cluster.

Error in checkForRemoteErrors(val) : 
  3 nodes produced errors; first error: object 'km.apparent' not found

I've tried this on Mac and a Linux RHEL7 server and got the same error - and I guess km.apparent is an internal function because I can't find it when I google. Can someone help me understand what is going on? Please let me know if you need additional information and thank you so much!