ggQQunif
Compare Big Datasets to the Uniform Distribution
A quantile-quantile plot can be used to compare a sample of p-values to the uniform distribution. But when the dataset is big (i.e. > 1e4 p-values), plotting the quantile-quantile plot can be slow. geom_QQ uses all the data to calculate the quantiles, but thins it out in a way that focuses on points near zero before plotting to speed up plotting and decrease file size, when vector graphics are stored.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling source/ R- | ggQQunif_0.1.5.tar.gz |
70.9 KiB |
0.1.5 |
rolling linux/jammy R-4.5 | ggQQunif_0.1.5.tar.gz |
86.0 KiB |
0.1.5 |
rolling linux/noble R-4.5 | ggQQunif_0.1.5.tar.gz |
86.0 KiB |
0.1.5 |
latest source/ R- | ggQQunif_0.1.5.tar.gz |
70.9 KiB |
0.1.5 |
latest linux/jammy R-4.5 | ggQQunif_0.1.5.tar.gz |
86.0 KiB |
0.1.5 |
latest linux/noble R-4.5 | ggQQunif_0.1.5.tar.gz |
86.0 KiB |
0.1.5 |
2026-04-23 source/ R- | ggQQunif_0.1.5.tar.gz |
70.9 KiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | ggQQunif_0.1.5.zip |
89.9 KiB |
0.1.5 |
2025-04-20 source/ R- | ggQQunif_0.1.5.tar.gz |
70.9 KiB |