xQTLvisual_PZPlot | R Documentation |
Compare P-values reported to P-values calculated from Z statistics derived from the reported beta and standard error.
xQTLvisual_PZPlot(
summaryDT,
binCutLogP = 4,
binNumber = 2000,
distribution_func = "pnorm",
axis_text_size = 1.3,
axis_title_size = 1.3,
title_size = 1.4,
title_text = "",
point_color = "#5A90BE"
)
summaryDT |
A data.frame with three cols: pval, beta, se. |
binCutLogP |
To speed up the rendering process of the plot for tens of millions of GWAS variants, variants with a p-value below a specified threshold (binCutLogP) are randomly sampled for display. |
binNumber |
The number of points randomly selected for plotting. |
distribution_func |
"pnorm"(default) or "pchisq" |
axis_text_size |
(numberic) text size of the axis labels |
axis_title_size |
(numberic) text size of the axis title |
title_size |
(numberic) text size of the title of the plot |
title_text |
(character) title of the plot |
a list containing a data.frame of estimated pvalues and A ggplot2 object
url1 <- "http://bioinfo.szbl.ac.cn/xQTL_biolinks/xqtl_data/gwasDFsub_MMP7.txt"
sumDT <- data.table::fread(url1, sep="\t")
xQTLvisual_PZPlot(sumDT[,.(pValue, beta, se)], distribution_func="pchisq")
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