R help - Aug 2024 - Linear regression and stand deviation at the Linux command line

R List,

Please excuse this ultra-newbie post.
I looked at this page but it's a bit beyond me.
https://www2.kenyon.edu/Depts/Math/hartlaub/Math305%20Fall2011/R.htm

I'm interested in R construct(s) to be entered at the command
line that would output slope, y-intercept, and r-squared values read
from a csv or other filename entered at the command line, and the same
for standard deviation calculations, namely the standard deviation,
variance, and z-scores for every data point in the file.

E.g.
$ ((R function for linear regression here))    slope, y-intercept, and
r-squared, other related stats that R seems most capable of
generating.
linear_regression_data.csv file contents (Are line numbers, commas,
etc. needed or no?)
1 20279
2 899
3 24747
4 12564
5 29543

$ ((R function for standard deviation here))    standard deviation,
variance, z-scores, other related stats that R seems most capable of
generating.
standard_deviation_data.csv file contents (Are line numbers, commas,
etc. needed or no?)
1 16837
2 9498
3 31389
4 2365
5 17384

Many thanks,

----------Keith

Keith,
I suggest you being by looking at a web page

https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/lm

It will introduce you to the lm function, the function that performs liner
regression and the summary function which returns some of the material you are
looking for. The page come complete with code that can be run via he web page.
Once you review the web page, and hopefully try to run the analysis you want to
run, you can again ask the R help list for additional help.

There are other web pages that can help you, for example

https://www.statology.org/logistic-regression-in-r/#:~:text=How%20to%20Perform%20Logistic%20Regression%20in%20R%20%28Step-by-Step%29,Predictions%20...%205%20Step%205%3A%20Model%20Diagnostics%20

Take the first steps, show that you are trying and the R help list will be very
helpful.
John

John David Sorkin M.D., Ph.D.
Professor of Medicine, University of Maryland School of Medicine;
Associate Director for Biostatistics and Informatics, Baltimore VA Medical
Center Geriatrics Research, Education, and Clinical Center;
PI Biostatistics and Informatics Core, University of Maryland School of Medicine
Claude D. Pepper Older Americans Independence Center;
Senior Statistician University of Maryland Center for Vascular Research;

Division of Gerontology and Paliative Care,
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
Cell phone 443-418-5382




________________________________________
From: R-help <r-help-bounces at r-project.org> on behalf of Keith
Christian <keith1christian at gmail.com>
Sent: Thursday, August 22, 2024 3:07 PM
To: r-help at r-project.org
Subject: [R] Linear regression and stand deviation at the Linux command line

R List,

Please excuse this ultra-newbie post.
I looked at this page but it's a bit beyond me.
https://www2.kenyon.edu/Depts/Math/hartlaub/Math305%20Fall2011/R.htm

I'm interested in R construct(s) to be entered at the command
line that would output slope, y-intercept, and r-squared values read
from a csv or other filename entered at the command line, and the same
for standard deviation calculations, namely the standard deviation,
variance, and z-scores for every data point in the file.

E.g.
$ ((R function for linear regression here))    slope, y-intercept, and
r-squared, other related stats that R seems most capable of
generating.
linear_regression_data.csv file contents (Are line numbers, commas,
etc. needed or no?)
1 20279
2 899
3 24747
4 12564
5 29543

$ ((R function for standard deviation here))    standard deviation,
variance, z-scores, other related stats that R seems most capable of
generating.
standard_deviation_data.csv file contents (Are line numbers, commas,
etc. needed or no?)
1 16837
2 9498
3 31389
4 2365
5 17384

Many thanks,

----------Keith

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? Thu, 22 Aug 2024 13:07:37 -0600
Keith Christian <keith1christian at gmail.com> ?????:
> I'm interested in R construct(s) to be entered at the command
> line that would output slope, y-intercept, and r-squared values read
> from a csv or other filename entered at the command line, and the same
> for standard deviation calculations, namely the standard deviation,
> variance, and z-scores for every data point in the file.
If you'd like to script R at the command line, consider the
commandArgs() function (try entering ?commandArgs at the R prompt).
This way you can pass a file path to an R process without unsafely
interpolating it into the R expression itself. These arguments can be
given to R --args or to Rscript (without the --args).

Also consider the 'littler' scripting-oriented R front-end
<https://CRAN.R-project.org/package=littler>, which puts the command
line arguments into the 'argv' variable and has a very convenient -d
option which loads CSV data from the standard input into a variable
named 'X'.
> Are line numbers, commas, etc. needed or no?
Depends on how you read it. By default, the function read.table() will
expect your data to be separated by a mixture of tabs and spaces and
will recognise a header if the first line contains one less column than
the rest of the file. Enter ?read.table at the R prompt to see the
available options (which include read.csv).

Good introductions to R include, well, "An Introduction to R" [1]
(also
available by typing RShowDoc('R-intro') into the R prompt) and
"Visual
Statistics" by Dr. A. Shipunov [2].

Start with functions read.table(), lm(), scale(), sd(), summary(). Use
str() to look at the structure of a variable: summary(lm(...)) will
return a named list from which you can extract the values you are
interested in (see ?summary.lm). When in doubt, call
help(name_of_the_function).

-- 
Best regards,
Ivan

[1]
https://cran.r-project.org/doc/manuals/R-intro.html

[2]
http://web.archive.org/web/20230106210646/http://ashipunov.info/shipunov/school/biol_240/en/visual_statistics.pdf