some functions didn't work in my dataset

[changs...@gmail.com]

Dear Karl,

Sorry to bother you, I got some problems with my rislef4 datasets. 

1. zip_datafiles() didn't work without any warning message.

2. genoprob_to_alleleprob() return a empty list without any warning message.

Here is my code:

```

library(qtl2)

setwd("C:/Users/wpf/Desktop/project/MAGIC4w/")

zip_datafiles("magic4w.json", quiet = F)

rice <- read_cross2("magic4w.json", quiet = F)

pmap <- rice$pmap

prcl <- calc_genoprob(rice, map = pmap, error_prob = 0.0001,

                      map_function = "c-f", lowmem = F,

                      quiet = F, cores = 1)

apr <- genoprob_to_alleleprob(prcl, quiet = F)

```

my R.version

platform       x86_64-w64-mingw32          

arch           x86_64                      

os             mingw32                     

system         x86_64, mingw32             

status                                     

major          4                           

minor          0.2                         

year           2020                        

month          06                          

day            22                          

svn rev        78730                       

language       R                           

version.string R version 4.0.2 (2020-06-22)

nickname       Taking Off Again  

If you need my dataset for testing, I will email you.

Thanks, advance!

Yours Sincerely,

Pengfei Wang  

[Karl Broman]

genoprob_to_alleleprob() is only used for heterozygous populations. In an riself4 population, the genotype probabilities are the same as the allele probabilities, so there would be no reason to all this function.

I can’t say anything about the zip_datafiles() without seeing the actual warning messages. 

karl

[changs...@gmail.com]

I truly appreciate your timely help. So the premise of "riself" and "risib" is infinite selfing and sib mating without heterozygous sites, is it?

[Karl Broman]

R/qtl2 assumes no heterozygosity.

karl

[changs...@gmail.com]

Thank you. Wish you a good day!

Pengfei Wang