A new description of the package

[adw96]

Hi @statdivlab/rigr-ta-team and @jphughes9 -- I'm just modifying the "description" field in DESCRIPTION. I'm sure I've missed some key things

A set of tools to streamline data analysis in R. Learning both R and introductory statistics at the same time can be challenging, and so we created rigr to facilitate common data analysis tasks and to enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. Heteroskedasticity-robust ("sandwich") standard errors are included by default in all regression output, and multiple partial F-tests are easy to specify. A single regression function (regress()) can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models.

For reference, here is old description:

A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting.

Thoughts/edits?

[jphughes9]

Amy This sounds good to me. Should we announce the package at the faculty meeting tomorrow? Jim -------------- Jim Hughes Professor of Biostatistics University of Washington Email: ***@***.******@***.***> Mailstop 351617 Phone: 206-616-2721 Seattle, WA 98195 Fax: 206-616-2724 Cell: 206-498-2456 From: AmyW ***@***.***> Sent: Wednesday, September 8, 2021 11:36 AM To: statdivlab/rigr ***@***.***> Cc: Jim Hughes ***@***.***>; Mention ***@***.***> Subject: [statdivlab/rigr] A new description of the package (#88) Hi @statdivlab/rigr-ta-team<https://github.com/orgs/statdivlab/teams/rigr-ta-team> and @jphughes9<https://github.com/jphughes9> -- I'm just modifying the "description" field in DESCRIPTION. I'm sure I've missed some key things A set of tools to streamline data analysis in R. Learning both R and introductory statistics at the same time can be challenging, and so we created rigr to facilitate common data analysis tasks and to enable learners to focus on statistical concepts. We provide easy-to-use interfaces for descriptive statistics, one- and two-sample inference, and regression analyses. Heteroskedasticity-robust ("sandwich") standard errors are included by default in all regression output, and multiple partial F-tests are easy to specify. A single regression function (regress()) can fit both linear and generalized linear models, allowing students to more easily make connections between different classes of models. For reference, here is old description: A set of tools designed to facilitate easy adoption of R for students in introductory classes with little programming experience. Compiles output from existing routines together in an intuitive format, and adds functionality to existing functions. For instance, the regression function can perform linear models, generalized linear models, Cox models, or generalized estimating equations. The user can also specify multiple-partial F-tests to print out with the model coefficients. We also give many routines for descriptive statistics and plotting. Thoughts/edits? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub<#88>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AFPGUCS6Q3IAEGM2FRAJSXDUA6UJFANCNFSM5DVOFLMA>. Triage notifications on the go with GitHub Mobile for iOS<https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android<https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>.

[adw96]

Note to self: perhaps include mention of tests of contrasts via lincom?

[taylorokonek]

The description sounds good to me! No huge opinion on whether or not lincom should be mentioned

[cwolock]

Looks good to me.

Maybe one thing that could be added (but I don't feel strongly) is something about how we're trying to replicate what students learn in an intro class. I've been thinking about this a lot lately with proptest - the stats package version does some weird stuff that I think is probably opaque to a beginner, while our version does exactly the Wald test and confidence interval that is taught in an intro course.

[adw96]

Thanks, @cwolock ! Great point. I've added "'rigr' output includes key information while omitting unncessary details that can be confusing to beginners." in 4ff77c2