Creating a summary statistics table

This video explains how to create a summary statistics table in R

#survey #dataanalytics #dataanalysis #surveydata #datascience #tutorial #R #dplyr #summarystat #summary #statistics #table #cateogrical #variable #crashcourse #surveydata
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This video is part of a crash course on Survey Data Analysis in R.

Are you looking for a resource that helps you quickly learn survey data analysis in R?

​This goal-oriented crash course discusses the 15 most widely used tasks for survey data analysis in R!

The written version of this lesson is available in this article:

[kennethvaughan]

Thank you! Most of the guides to weighting data in R are counterintuitive for those of us trained to analyze survey data in clients like SAS, STATA, and SPSS. This is what I needed. Good stuff.

One question. Does this apply the survey weight only to the outcome variable? For example, when creating a table in most other statistical packages, you can put in as many variables as you want and then specify the weight. Typically, I think this affects all of the variables in the analysis. There’s always just just one weight function whether it’s crosstabs, means comparison, regression models, etc.