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-boun...@r-project.org> on behalf of Keith Christian <keith1christ...@gmail.com> Sent: Thursday, August 22, 2024 3:07 PM To: r-help@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 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.r-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
