inst/shiny-apps/corrsim/about.md
In bcdudek/bcdstats: A collection of functions to support B. Dudek's APSY510/511 classes
Tools for Statistics Instruction using R and Shiny
========================================================
Author: Bruce Dudek at the University at Albany.
The simulation approach in this application simulates samples drawn from a bivariate normal distribution, where the means, sd's, rho, and n are specified by the user. The randomly drawn sample results are displayed in the scatterplot along with the sample pearson product-moment correlation.
If the user wants to see the same kind of scatterplot with their own data, the data upload approach permits this with upload of a .csv file.
For both appraoches, the scatterplots emphasize examination of the "rug plots" of both the raw Y values and the Yhat values. The user can explore how the dispersion of the Yhat values depends on the size of the pearson product-moment correlation.
Built using Shiny by Rstudio and R, the Statistical Programming Language.
The correlation simulation uses the rmvnorm function in the mvtnorm package in R.
Ver 1.6, Jan 23, 2017
bcdudek/bcdstats documentation built on Jan. 3, 2024, 10:09 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Tools for Statistics Instruction using R and Shiny
========================================================
Author: Bruce Dudek at the University at Albany.
The simulation approach in this application simulates samples drawn from a bivariate normal distribution, where the means, sd's, rho, and n are specified by the user. The randomly drawn sample results are displayed in the scatterplot along with the sample pearson product-moment correlation.
If the user wants to see the same kind of scatterplot with their own data, the data upload approach permits this with upload of a .csv file.
For both appraoches, the scatterplots emphasize examination of the "rug plots" of both the raw Y values and the Yhat values. The user can explore how the dispersion of the Yhat values depends on the size of the pearson product-moment correlation.
Built using Shiny by Rstudio and R, the Statistical Programming Language.
The correlation simulation uses the rmvnorm function in the mvtnorm package in R.
Ver 1.6, Jan 23, 2017
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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