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HeidiSeibold
HeidiSeibold commented Jan 27, 2017

E.g. for listOMLTasks the Value documentation is quite scarce

Value
[data.frame].

It would be nice to know what the collumns of the data.frame actually are or at least a link to where I can find this.

Since this is an issue that I just ran into myself, can anyone tell me what max.nominal.att.distinct.values means

ax3l
ax3l commented Feb 18, 2020

We currently ship our own set of filesystem functions to create / handle dirs and files on the OS we support.

Much of it could be simplified with C++ filesystem support, which is still not production ready in tooling and broad support.

On top of that, for MPI-parallel operations such as an mkdir -p for a series, we do implement safe but potentially meta-data-server "heavy" operations. We c

DavidSagan
DavidSagan commented Dec 10, 2017

Right now there is only one root group for meshes: /data/meshes/. As opposed to particles where where there can be many: /data/particles/electrons/, /data/particles/protons/, etc.

This is restricting. For example it may be desirable to store internal fields separately from external fields. So to have a structure to enable groups like: /data/meshes/dc_field/, /data/meshes/particle_field/

maelle
maelle commented Dec 19, 2019

Suggestion by @jeroen

First, check all DESCRIPTION files have the GitHub URL (otherwise it won't be linked from the pkgdown website).

Then, make the replacement semi-automatically (I suspect sometimes the link to the GitHub repo goes with a text like "the GitHub repo" in which case we still want to link the GitHub repo I suppose).

Daniel-Mietchen
Daniel-Mietchen commented Oct 5, 2018

[//]: # "=======================
Instructions for posting issues:
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(2) Write your post (below this text blob) using Markdown (as per

DougManuel
DougManuel commented Sep 10, 2019

Create a SAS macro or Python, Stata function to transform CCHS variables using variables.csv and variableDetails.csv.

rec_with_table() is the function that supports almost all of cchsflow. This function is a straightfoward extension of common recode functions. The difference is that rec_with_table uses a data frame as opposed to the more common approach of hard coding transformation a

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