CRAN:
install.packages("platetools")
conda:
conda install -c conda-forge r-platetools
GitHub (dev version):
remotes::install_github("swarchal/platetools")
# example dataframe df <- data.frame(vals = rnorm(384), well = num_to_well(1:384, plate = 384)) raw_map(data = df$vals, well = df$well, plate = 384) + ggtitle("Example 384-well plate") + theme_dark() + scale_fill_viridis()
See the vignette for more examples.
raw
: raw valueshit
: hit detection based on standard deviationsz
: z-scored valuesb
: b-scored valuesbhit
: b-score values before hit detectionmap
: single plate mapgrid
: multple plate mapse.g:z_map
: z-scored plate mapraw_grid:
raw values, multiple plate mapsbhit_grid:
b-scored values, coloured by hits, multiple plates
Scott Warchal - <scott.warchal (at) crick.ac.uk>
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