qqplot.r

# Script to make a QQ plot diagram for tabular data from res.r.
#
# Copyright 2017-2020 ICTU
# Copyright 2017-2022 Leiden University
# Copyright 2017-2023 Leon Helwerda
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

library(ggplot2)
if ("qqplotr" %in% rownames(installed.packages())) {
    library(qqplotr)
    QQPLOTR <- T
} else {
    QQPLOTR <- F
}

qqplot_monte_carlo <- function(counts, file) {
    if (!QQPLOTR) {
        return
    }
    df <- data.frame(sample=colMeans(counts, na.rm=T),
                     ymin=sapply(counts, min, na.rm=T),
                     ymax=sapply(counts, max, na.rm=T))
    ggplot(data=df, aes(sample=df$sample)) +
        stat_qq_line(colour="# 3366FF") +
        stat_qq_point() +
        labs(x="Theoretical Quantiles", y="Sample Quantiles")
    ggsave(file)
}

count <- 10000
for (file in Sys.glob("qqplot.*.txt")) {
    counts <- matrix(as.numeric(unlist(read.table(file))), ncol=count, byrow=T)
    qqplot_monte_carlo(counts, sub("\\.txt", ".pdf", file))
}