compare_many: compare many combinations of treatment and control
In TeamMacLean/pepdiff: Analysing TSL PRM Peptide Data
compare_many R Documentation
compare many combinations of treatment and control
Description
for each combination of treatment and control condition, runs the 'compare()' function
and collates the results
Usage
compare_many(df, comparison, iters = 1000, tests = c("bootstrap_t"))
Arguments
df
dataframe. Typically from 'import_data()'
comparison
path to file or dataframe of comparisons with columns treatment, t_seconds, control, c_seconds
iters
number of iterations to perform for iterative tests
tests
character vector of tests to use, one or more of: 'norm_quantile', 'bootstrap_t', 'wilcoxon', 'kruskal-wallis', 'rank_product'
TeamMacLean/pepdiff documentation built on April 24, 2023, 7:48 a.m.
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| compare_many | R Documentation |
compare many combinations of treatment and control
Description
for each combination of treatment and control condition, runs the 'compare()' function and collates the results
Usage
compare_many(df, comparison, iters = 1000, tests = c("bootstrap_t"))
Arguments
df |
dataframe. Typically from 'import_data()' |
comparison |
path to file or dataframe of comparisons with columns treatment, t_seconds, control, c_seconds |
iters |
number of iterations to perform for iterative tests |
tests |
character vector of tests to use, one or more of: 'norm_quantile', 'bootstrap_t', 'wilcoxon', 'kruskal-wallis', 'rank_product' |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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