View source: R/gtoxPlotPlate.R
gtoxPlotPlate | R Documentation |
gtoxPlotPlate
generates a heatmap of assay plate data
gtoxPlotPlate(dat, apid, id = NULL, quant = c(0.001, 0.999))
dat |
data.table containing gtox data |
apid |
Character of length 1, the apid to plot |
id |
Integer of length 1, the assay component id (acid) or assay endpoint id (aeid), depending on level. Only need to specify for multiplexed assays when more than one acid/aeid share an apid. |
quant |
Numeric vector, the range of data to include in the legend |
The legend represents the range of the data supplied to dat, for the applicable ID. The additional horizontal lines on the legend indcate the range of the plotted plate, to show the relation of the plate to the assay as a whole. A plot with a legend specific for the given apid can be created by only supplying the data for the apid of interest to 'dat'.
The quant parameter, by default including 99.8 allows for extreme outliers without losing resolution. Outliers in either direction will be highlighted with a dark ring, as seen in the example. A NULL value for 'quant' will not restrict the data at all, and will use the full range for the legend.
Wells with a well quality of 0 (only applicable for level 1 plots), will have an "X" through their center.
None
For the optimal output size, use width = 12, height = 8, pointsize = 12, units = "in"
## Define assay component and extract assay component ID
acnm <- "Cytotoxicity (TIER1)_Cytochrome C release_24h"
acid <- gtoxLoadAcid(fld=c("asid", "acnm"), val=list(1L,acnm))[, acid]
## Extract assay plate ID corresponding to plate name S-000049119
apid <- gtoxLoadApid()[u_boxtrack == "S-000049119", apid]
## Load level 2 data (Raw data before normalization)
l2 <- gtoxLoadData(lvl = 2L, fld = "acid", val = acid)
gtoxPlotPlate(dat = l2, apid = apid, id = acid)
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