Last update: November 15. 2022 In preparation for the dumpster fire that is Oregon election reporting, I previously posed on importing a directory of .csv files. At present, that is what I can find to build this. What does the interface look like? library(magick) Img <- image_read("./img/SShot.png") image_ggplot(Img) This is terrible, there is a javascript button to download each separately. Nevertheless, here we go.
Longitudinal and Panel Data Analysis in R Goal: A CRAN task view for panel/longitudinal data analysis in R. What is Panel Data? Panel data are variously called longitudinal, panel, cross-sectional time series, and pooled time series data. The most precise definition is two-dimensional data; invariably one of the dimensions is time. We can think about a general depiction of what a model with linear coefficients typical for such data structures, though ridiculously overparameterized, like so:
Variance in the Outcome: The Black Box Regression models engage an exercise in variance accounting. How much of the outcome is explained by the inputs, individually (slope divided by standard error is t) and collectively (Average explained/Average unexplained with averaging over degrees of freedom is F). This, of course, assumes normal errors. This document provides a function for making use of the black box. Just as in common parlance, a black box is the unexplained.
Correlations and the Impact on Sums and Differences I will use a simple R function to illustrate the effect of correlation on sums and differences of random variables. In general, the variance [and standard deviation] of a sum of random variables is the variance of the individual variables plus twice the covariance; the variance [and standard deviation] of a difference in random variables is the variance of the individual variables minus twice the (signed) covariance.
Presidential Press The language of presidential communications is interesting and I know very little about text as data. I have a number of applications in mind for these tools but I have to learn how to use them. What does the website look like? White House News The site is split in four parts: all news, articles, presidential actions, and briefings and statements. The first one is a catch all and the second is news links.
FRED via fredr The Federal Reserve Economic Database [FRED] is a wonderful public resource for data and the r api that connects to it is very easy to use for the things that I have previously needed. For example, one of my students was interested in commercial credit default data. I used the FRED search instructions from the following vignette to find that data. My first step was the vignette for using fredr.