Dear Henning:
If the ultimate objective is to use the data set in R, then I used this most simple approach (provided you have a *.REC/*.CHK pair, I forgot if you started from *.epx):
1) Go to EpiData Entry 3.1, and export to Stata *.dta
2a) In R, if you want labels rather than values use: library(foreign) myrset_0.rda <- read.dta("c:/your_ path/..../myfile.dta")
2b) In R, if you want values rather than labels use: library(foreign) myrset_0.rda <- read.epiinfo("c:/your_ path/..../myfile.rec")
Though, apologies: - I haven't considered it for *.epx files, but then it's also simple:
Go to EpiData Analysis V2.2.3.187 and write close read "myepxfile.epx" savedata "myepxfile.rec" /replace
Now the real issue might be your coding of the missing, but then if that is the problem, it's an easy thing to just recode it in EpiData Analysis to a uniform (or two) value(s) for your missing and save.
Regards,
Hans
On 27-Aug-19 15:18, EpiData development and support wrote:
Hi,
Exporting the .dta file from Analysis throws the same error in Python as the Stata 14-file from EpiData Manager. Unsure if this is a Python error or Stata-export error. I have used all versions earlier in R so probably something to do with Python Pandas read_stata-function.
Kind Regards Henning