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 detection
map
: single plate mapgrid
: multple plate maps
e.g:
z_map
: z-scored plate map
raw_grid:
raw values, multiple plate maps
bhit_grid:
b-scored values, coloured by hits, multiple plates
Scott Warchal - <scott.warchal (at) crick.ac.uk>