From 8795c19b721cccc5ed24ef08867a28c2124e78ad Mon Sep 17 00:00:00 2001 From: Hannes Becher Date: Mon, 12 Dec 2022 13:10:11 +0000 Subject: [PATCH] v 1.2 --- data/plots.R | 41 ++++++++++++++++++ vagrantDNA/DESCRIPTION | 2 +- vagrantDNA/R/Rainbow_Plot.R | 2 +- vagrantDNA/R/data.R | 27 +++++++++++- vagrantDNA/R/interceptPositionPlot.R | 32 +++++++++++--- vagrantDNA/man/humanDF.Rd | 27 +++++++++++- vagrantDNA/man/interceptPositionPlot.Rd | 28 +++++++++--- vagrantDNA/man/rainbowPlot.Rd | 2 +- ...NA_1.1.1.tar.gz => vagrantDNA_1.2.0.tar.gz | Bin 1007704 -> 1008631 bytes 9 files changed, 141 insertions(+), 20 deletions(-) create mode 100644 data/plots.R rename vagrantDNA_1.1.1.tar.gz => vagrantDNA_1.2.0.tar.gz (54%) diff --git a/data/plots.R b/data/plots.R new file mode 100644 index 0000000..50f1cc8 --- /dev/null +++ b/data/plots.R @@ -0,0 +1,41 @@ + + + +rPar <- rainbowPlot(parrotDF, seed=12345) +# remove multiple outliers +toRemove <- interceptPositionPlot(rPar, highlightOutliers=T) +parrotDF2 <- parrotDF[!parrotDF$Position %in% toRemove,] +rainbowPlot(parrotDF2, seed=12345) + + +rHum <- rainbowPlot(humanDF, seed=12345) +# automatic outlier detection would remove SNPs that look OK +remHum <- interceptPositionPlot(rHum, highlightOutliers = T) + +# select single outlier "by hand" +which.max(coef(summary(rHum$lmer.model))[,1]) + +humanDF2 <- humanDF[humanDF$Position != 310,] # remove "by hand" +rainbowPlot(humanDF2, seed=12345) +divEst(parrotFX) + +# generate plots for manuscript +#pdf("hopper.pdf", width=6, height=7) + +#download.file("https://tinyurl.com/4mtrbkzc", destfile = "hopper.csv") +hopperDF <- read.table("hopper.csv") + +hopperFit <- rainbowPlot(hopperDF, + seed = 12345, printout = FALSE, title = "Grasshopper") +#dev.off() + + +#pdf("parrot.pdf", width=6, height=7) +rainbowPlot(parrotDF2, + seed = 12345, printout = FALSE, title = "Parrot") +#dev.off() + +#pdf("human.pdf", width=6, height=7) +rainbowPlot(humanDF2, + seed = 12345, printout = FALSE, title = "Human") +#dev.off() diff --git a/vagrantDNA/DESCRIPTION b/vagrantDNA/DESCRIPTION index 58d3d5c..9a1c5b7 100644 --- a/vagrantDNA/DESCRIPTION +++ b/vagrantDNA/DESCRIPTION @@ -1,7 +1,7 @@ Package: vagrantDNA Type: Package Title: Estimating the proportion of vagrant DNA in a genome -Version: 1.1.1 +Version: 1.2.0 Author: Richard Nichols and Hannes Becher Maintainer: The package maintainer Description: The package two functions rainbowPlot and divEst. They produce two different estimates of the proportion of DNA from a particular vagrant genome. They exploit low coverge data from multiple individuals in which the vagrant DNA has taken residence (see Becher and Nichols 2022). diff --git a/vagrantDNA/R/Rainbow_Plot.R b/vagrantDNA/R/Rainbow_Plot.R index 0f62eb1..75eab98 100644 --- a/vagrantDNA/R/Rainbow_Plot.R +++ b/vagrantDNA/R/Rainbow_Plot.R @@ -74,7 +74,7 @@ #' download.file("https://tinyurl.com/4mtrbkzc", destfile = "hopper.csv") #' hopperDF <- read.table("hopper.csv")} #' -#' ## (the t.ly/ link is to the cvs file at +#' ## (the t.ly/ link is to the CSV file at #' ## https://raw.githubusercontent.com/SBCSnicholsLab/pseudogene_quantification/ #' ## main/data/grasshopper/transformedData.csv) #' diff --git a/vagrantDNA/R/data.R b/vagrantDNA/R/data.R index 9d467e2..dc0f840 100644 --- a/vagrantDNA/R/data.R +++ b/vagrantDNA/R/data.R @@ -4,7 +4,7 @@ #' sequencing data mapped against mitochondrial genome references. #' #' @format Each is a data.frame. -#' [species]DF just contain variant calling data. +#' \strong{\code{[species]DF}} just contain variant calling data. #' The columns are: #' \describe{ #' \item{Sample}{A character vector giving a unique name for each sample} @@ -15,7 +15,7 @@ #' \item{nTot}{A numeric vector giving the total number of base pairs of the sample's mapping data (ideally after quality control, filtering, read trimming, ect.)} #' \item{ylog}{A numeric vector giving the log of `AltProp`} #' } -#' [species]FX were generated from species with diverged populations. These +#' \strong{\code{[species]FX}} were generated from species with diverged populations. These #' contain information on sites with fixed differences. The columns are: #' \describe{ #' \item{pos}{A vector giving the site IDs} @@ -32,6 +32,29 @@ #' } #' #' @examples +#' # Generate the estimates reported in the paper +#' \dontrun{ +#' ## Parrot +#' rPar <- rainbowPlot(parrotDF, seed=12345) +#' # remove multiple outliers +#' toRemove <- interceptPositionPlot(rPar, highlightOutliers=T) +#' parrotDF2 <- parrotDF[!parrotDF$Position %in% toRemove,] +#' rainbowPlot(parrotDF2, seed=12345, title = "Parrot") +#' +#' ## Human +#' rHum <- rainbowPlot(humanDF, seed=12345) +#' # automatic outlier detection would remove SNPs that look OK +#' interceptPositionPlot(rHum, highlightOutliers = T) +#' # select single outlier "by hand" +#' which.max(coef(summary(rHum$lmer.model))[,1]) +#' humanDF2 <- humanDF[humanDF$Position != 310,] # by hand, better +#' rainbowPlot(humanDF2, seed=12345, title = "Human") +#' +#' ## Grasshopper +#' download.file("https://tinyurl.com/4mtrbkzc", destfile = "hopper.csv") +#' hopperDF <- read.table("hopper.csv") +#' rainbowPlot(hopperDF, seed = 12345, title = "Grasshopper") +#' } #' humanDF #' parrotDF #' hopperFX diff --git a/vagrantDNA/R/interceptPositionPlot.R b/vagrantDNA/R/interceptPositionPlot.R index 8d6eab5..e12bf89 100644 --- a/vagrantDNA/R/interceptPositionPlot.R +++ b/vagrantDNA/R/interceptPositionPlot.R @@ -1,27 +1,47 @@ -#' Intercept-position-plot for loci seect by rainbowPlot() +#' Intercept-position-plot for loci selected by \code{rainbowPlot()} #' -#' @param ff A `rainbowPlot()` fit. +#' @param ff A \code{rainbowPlot()} fit. #' @param main Plot caption, default is "Intercept-position-plot" -#' @param ... Arguments to be passed to `plot()` +#' @param highlightOutliers Logical. Whether or not to highlight sites with +#' outlier intercepts according to \code{boxplot.stats}. Default \code{F} +#' @param ... Arguments to be passed to \code{plot()} +#' @return Returns invisibly a vector of positions where the intercept estimate +#' were outliers according to \code{boxplot.stats} #' #' @export #' #' @examples #' \dontrun{ -#' humanFit <- rainbowPlot(humanDF) -#' interceptPositionPlot(humanFit) +#' rPar <- rainbowPlot(parrotDF) +#' toRemove <- interceptPositionPlot(rPar, highlightOutliers=T) +#' parrotDF2 <- parrotDF[!parrotDF$Position %in% toRemove,] +#' rainbowPlot(parrotDF2) #' } -interceptPositionPlot <- function(ff, main="Intercept-position-plot", ...){ +interceptPositionPlot <- function(ff, + highlightOutliers=F, + main="Intercept-position-plot", + ...){ coefs.a <- as.data.frame(coef(summary(ff$lmer.model))) coefs.a$site.numeric <- as.numeric(substr(rownames(coefs.a), 9, 30)) + bounds <- boxplot.stats(coefs.a$Estimate)$stat + coefs.a$out <- coefs.a$Estimate < bounds[1] | coefs.a$Estimate > bounds[5] + if(highlightOutliers) { plot(Estimate ~ site.numeric, data=coefs.a, + col=out+1, main=main, ...) + } else { + plot(Estimate ~ site.numeric, + data=coefs.a, + main=main, + ...) + } l01 <- loess(Estimate ~ site.numeric, data=coefs.a) lines(predict(l01, coefs.a$site.numeric)~coefs.a$site.numeric) + return(invisible(coefs.a$site.numeric[coefs.a$out])) } diff --git a/vagrantDNA/man/humanDF.Rd b/vagrantDNA/man/humanDF.Rd index 4f69d2d..9bb6089 100644 --- a/vagrantDNA/man/humanDF.Rd +++ b/vagrantDNA/man/humanDF.Rd @@ -9,7 +9,7 @@ \title{NUMT datasets} \format{ Each is a data.frame. -[species]DF just contain variant calling data. +\strong{\code{[species]DF}} just contain variant calling data. The columns are: \describe{ \item{Sample}{A character vector giving a unique name for each sample} @@ -20,7 +20,7 @@ The columns are: \item{nTot}{A numeric vector giving the total number of base pairs of the sample's mapping data (ideally after quality control, filtering, read trimming, ect.)} \item{ylog}{A numeric vector giving the log of `AltProp`} } -[species]FX were generated from species with diverged populations. These +\strong{\code{[species]FX}} were generated from species with diverged populations. These contain information on sites with fixed differences. The columns are: \describe{ \item{pos}{A vector giving the site IDs} @@ -50,6 +50,29 @@ These data sets give allele frequencies generated from whole-genome sequencing data mapped against mitochondrial genome references. } \examples{ +# Generate the estimates reported in the paper +\dontrun{ +## Parrot +rPar <- rainbowPlot(parrotDF, seed=12345) +# remove multiple outliers +toRemove <- interceptPositionPlot(rPar, highlightOutliers=T) +parrotDF2 <- parrotDF[!parrotDF$Position \%in\% toRemove,] +rainbowPlot(parrotDF2, seed=12345, title = "Parrot") + +## Human +rHum <- rainbowPlot(humanDF, seed=12345) +# automatic outlier detection would remove SNPs that look OK +interceptPositionPlot(rHum, highlightOutliers = T) +# select single outlier "by hand" +which.max(coef(summary(rHum$lmer.model))[,1]) +humanDF2 <- humanDF[humanDF$Position != 310,] # by hand, better +rainbowPlot(humanDF2, seed=12345, title = "Human") + +## Grasshopper +download.file("https://tinyurl.com/4mtrbkzc", destfile = "hopper.csv") +hopperDF <- read.table("hopper.csv") +rainbowPlot(hopperDF, seed = 12345, title = "Grasshopper") +} humanDF parrotDF hopperFX diff --git a/vagrantDNA/man/interceptPositionPlot.Rd b/vagrantDNA/man/interceptPositionPlot.Rd index 6169237..ec5b661 100644 --- a/vagrantDNA/man/interceptPositionPlot.Rd +++ b/vagrantDNA/man/interceptPositionPlot.Rd @@ -2,23 +2,37 @@ % Please edit documentation in R/interceptPositionPlot.R \name{interceptPositionPlot} \alias{interceptPositionPlot} -\title{Intercept-position-plot for loci seect by rainbowPlot()} +\title{Intercept-position-plot for loci selected by \code{rainbowPlot()}} \usage{ -interceptPositionPlot(ff, main = "Intercept-position-plot", ...) +interceptPositionPlot( + ff, + highlightOutliers = F, + main = "Intercept-position-plot", + ... +) } \arguments{ -\item{ff}{A `rainbowPlot()` fit.} +\item{ff}{A \code{rainbowPlot()} fit.} + +\item{highlightOutliers}{Logical. Whether or not to highlight sites with +outlier intercepts according to \code{boxplot.stats}. Default \code{F}} \item{main}{Plot caption, default is "Intercept-position-plot"} -\item{...}{Arguments to be passed to `plot()`} +\item{...}{Arguments to be passed to \code{plot()}} +} +\value{ +Returns invisibly a vector of positions where the intercept estimate +were outliers according to \code{boxplot.stats} } \description{ -Intercept-position-plot for loci seect by rainbowPlot() +Intercept-position-plot for loci selected by \code{rainbowPlot()} } \examples{ \dontrun{ - humanFit <- rainbowPlot(humanDF) - interceptPositionPlot(humanFit) + rPar <- rainbowPlot(parrotDF) + toRemove <- interceptPositionPlot(rPar, highlightOutliers=T) + parrotDF2 <- parrotDF[!parrotDF$Position \%in\% toRemove,] + rainbowPlot(parrotDF2) } } diff --git a/vagrantDNA/man/rainbowPlot.Rd b/vagrantDNA/man/rainbowPlot.Rd index e83b421..ad7d99d 100644 --- a/vagrantDNA/man/rainbowPlot.Rd +++ b/vagrantDNA/man/rainbowPlot.Rd @@ -92,7 +92,7 @@ data(parrotDF) download.file("https://tinyurl.com/4mtrbkzc", destfile = 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