GitHub

fqq: Fast and Arbitrary Precision QQ plot

Over 10x faster that plotting all the points. Support p-values less than default floating point limit of ~1e-323. IMPORTANT: Used properly, this code will result in a QQ plot that is identical to one ...
Simon Fraser University

Example 55.8: Creating PP and QQ Plots

The following program creates probability-probability plots and quantile-quantile plots of the residuals (Output 55.8.1 and Output 55.8.2, respectively). An annotation data set is created to produce ...
GitHub

## QQ_plot.R

# R code for making manhattan plots and QQ plots from plink output files. # manhattan() with GWAS data this can take a lot of memory, recommended for use on 64bit machines only, for now. # ...
Simon Fraser University

Example 10.1: Interpreting a Normal Q-Q Plot of Nonnormal Data

The following statements produce the normal Q-Q plot in Output 10.1.1: data measures; input diameter @@; label diameter='Diameter in mm'; datalines; 5.501 5.251 5.404 5.366 5.445 5.576 5.607 5.200 ...
Scientific Research Publishing

Using Residual Estimators to Detect Outliers and Potential Controlling Observations in Structural Equation Modelling: QQ Plot Approach

1 Department of Mathematics & Statistics, Kumasi Technical University (KsTU), Kumasi, Ghana 2 Department of Statistics, Faculty of Mathematical Sciences, C.K. Tedam University of Technology and ...
Scientific Research Publishing

Using Residual Estimators to Detect Outliers and Potential Controlling Observations in Structural Equation Modelling: QQ Plot Approach ()

1 Department of Mathematics & Statistics, Kumasi Technical University (KsTU), Kumasi, Ghana. 2 Department of Statistics, Faculty of Mathematical Sciences, C.K. Tedam University of Technology and ...