besthr (version 0.3.2)

Generating Bootstrap Estimation Distributions of HR Data

Description

Creates plots showing scored HR experiments and plots of distribution of means of ranks of HR score from bootstrapping. Authors (2019) .

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Version

Install

install.packages('besthr')

Monthly Downloads

240

Version

0.3.2

License

MIT + file LICENSE

Maintainer

Dan MacLean

Last Published

April 14th, 2023

Functions in besthr (0.3.2)

make_data2

return a sample data set of random values for two groups with three technical reps per group

make_data3

return a sample data set of random values for three groups with three technical reps per group

%>%

Pipe operator

plot.hrest

plots the hrest object

conf_intervals

gets confidence interval limits for means of bootstrapped ranks

tech_rep_dot_plot

dot plot of score data with technical replicates

factorise_cols

Convert named columns to factors

make_data

return a sample data set of random values for two groups

estimate

Perform bootstrap estimation of confidence intervals of ranked HR scores

print.hrest

print a summary of the hrest object

bootstrap_dist

runs bootstrapping of ranks

add_rank

calculate ranks of a score column and adds result to a dataframe

group_ns

Get number of observations in a group in a data frame

group_means

Get mean rank of groups in a data frame

bstrap_sample

resamples a rank column in a dataframe based on groups

dot_plot

dot plot of ranked data without technical replicates