Error loading a data frame as input data in hBayesDM R version

[youngahn]

Here is a code that will reproduce the error displayed below

dd_path = system.file('extData/dd_exampleData.txt', package = 'hBayesDM')  # path to a data file
dd_tmp = read.table(dd_path, header=T, sep="\t")  # load the file into a data.frame
output = dd_hyperbolic(dd_tmp, 1000, 500, 1, 1)   # run the dd_hyperbolic model

Output
Model name = dd_hyperbolic
Data file = Error in cat("Data file =", data, "\n") :
argument 2 (type 'list') cannot be handled by 'cat'

[youngahn]

This bug is fixed in v1.0.2 (https://github.com/CCS-Lab/hBayesDM/tree/hotfix/v1.0.2), which isn't available in CRAN yet. You can install the fixed version with the following R line:

devtools::install_github("CCS-Lab/hBayesDM", ref = "hotfix/v1.0.2", subdir = "R")

[fusaroli]

I ran into this issue with a couple of different datasets and I can confirm it's now fixed

[fusaroli]

Any news as to when this is going to go to CRAN? I have a student experiencing issues when trying to compile the patch.

[youngahn]

Thanks for asking! We will submit the latest (fixed) version sometime this week.

Best,
Young

[JacobElder]

I had the same error as the poster but installing the patch listed above did not resolve it. Quick comment-- While the hBayesDM documentation, example data, and instructions say that you should label IDs as "subjID", after looking at the source code, it turns out it should be "subjid" which led to my errors it seems. After changing it works.

The help documentation for 2 armed bandit says:
For the 2-Armed Bandit Task, there should be 3 columns of data with the labels "subjID", "choice", outcome". It is not necessary for the columns to be in this particular order, however it is necessary that they be labeled correctly and contain the information below:

[youngahn]

@JacobElder Thanks for reporting the potential bug. Would you be able to share your sample code regarding 'subjID'?

Yes that's correct that the order of columns does not matter.

[youngahn]

v1.0.2 is now available in CRAN and the bug is fixed in the latest 1.0.2 version.

https://cran.r-project.org/web/packages/hBayesDM/index.html