View source: R/plot_forestplot.R
plot_ForestPlot | R Documentation |
Forest plot
plot_ForestPlot(
datas,
files_meta,
islowCpg,
gwana_dir,
metaname,
files,
outputgwama,
nsignificatives = 30,
criteria = "p.value",
selectedCpGs = NULL
)
datas |
complete data obtained from meta-analysis after QC without annotations |
files_meta |
string vector with files used in the meta-analysis |
islowCpg |
string string indicating if the execution has been carried out with all the CpGs or with the filtered CpGs, possible values : 'Normal', 'lowcpgs' |
gwana_dir |
string with gwama input data path |
metaname |
string with meta-analysis name |
files |
string vector with files used in QC because we need data from this files to perform ForestPlots |
outputgwama |
string with gwama output path |
nsignificatives |
number, lowest p-values to show in forestplot, by default, lowestp=30 |
criteria |
character string with criteria to be used to select the first significative CpGs, by default the criteria is p.value (without any adjustment). Possible values are "p.value", "FDR" or "Bonferroni", in that case function plots all significative CpGs. |
selectedCpGs |
character vector with the names of the CpGs to be plotted |
distribution plot
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