I have had experiences with people too daunted by a programming language
where all kinds of small mistakes just generate an error. They often just
want to do a few things and do not want to learn programming in depth.
They want the kind of GUI interface that was often made for people coming
from something like the Social sciences with lots of options to choose from.
But what is nice about some of the attempts to make a GUI for limited uses,
is that it can also spit out the R code it uses so it can be copied and
edited carefully and perhaps even improved.
As an example, on a large dataset, where you will be removing relatively few
rows and most of the columns, the order of operations may matter and if the
GUI filters the rows first on a thousand columns and then drops all but
three columns, perhaps the opposite order can be done with a little cut and
paste and mild editing.
I will note there are now people using various "AI" chatbots to do
programming without a GUI. You can actually describe what you want carefully
in plain English (albeit other languages should also be possible) and get a
result which does something. I have been asked to look at such code to see
if it is doing what was wanted, though, so you still might want some
understanding of the generated R code. And, there is no guarantee that the
code you get is not using resources that have been deprecated or that
require some package you do not have and so on.
-----Original Message-----
From: R-help <r-help-bounces at r-project.org> On Behalf Of Michael L
Friendly
Sent: Thursday, October 17, 2024 9:35 AM
To: tgs77m at yahoo.com
Cc: org (R-help at r-project.org) <R-help at r-project.org>
Subject: Re: [R] JASP vs R
You should check out John Fox's Rcmdr package,
https://cran.r-project.org/package=Rcmdr
It was designed for exactly the situation you describe - desire to have a
GUI, with R underneath, but also usable.
A nice feature is that there are many 'plugins' others have developed to
extend the design beyond the standard suite for descriptives, linear models,
etc
---
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 736-2100 x66249
4700 Keele Street Web: http://www.datavis.ca<http://www.datavis.ca/> |
@datavisFriendly
Toronto, ONT M3J 1P3 CANADA
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