cmu-phil / example-causal-datasets

Example causal datasets with consistent formatting and ground truth

example-causal-datasets

Example datasets formatted consistently with ground truth for purposes of causal analysis. Formating conventions are here:

https://github.com/cmu-phil/example-causal-datasets/blob/main/formatting.txt

This is work in progress--please complain, especially if the ground truth isn't right or if you know ground truth that isn't here. Also, if you can suggest further datasets to format in a uniform way with ground truth, please do.

Plot matrices were generated in R as follows (for example):

library(psych)

data2 <- read.table("[file path]/abalone.continuous.txt",sep="\t", header=TRUE)

pairs.panels(data2, method = "pearson", # correlation method hist.col = "#00AFBB", density = TRUE, # show density plots ellipses = TRUE # show correlation ellipses )