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 values
• hit: hit detection based on standard deviations
• z: z-scored values
• b: b-scored values
• bhit: b-score values before hit detection

• map: single plate map
• grid: 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>