Using profrep | Introduction | Basic Use: From a CSV
Package: profrep 1.0.0
profrep: Profile Repeatability
Calculates profile repeatability for replicate stress response curves, or similar time-series data. Profile repeatability is an individual repeatability metric that uses the variances at each timepoint, the maximum variance, the number of crossings (lines that cross over each other), and the number of replicates to compute the repeatability score. For more information see Reed et al. (2019) <doi:10.1016/j.ygcen.2018.09.015>.
Authors:
profrep_1.0.0.tar.gz
profrep_1.0.0.zip(r-4.7-any)profrep_1.0.0.zip(r-4.6-any)profrep_1.0.0.zip(r-4.5-any)
profrep_1.0.0.tgz(r-4.6-any)profrep_1.0.0.tgz(r-4.5-any)
profrep_1.0.0.tar.gz(r-4.7-any)profrep_1.0.0.tar.gz(r-4.6-any)
profrep_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
profrep/json (API)
| # Install 'profrep' in R: |
| install.packages('profrep', repos = c('https://ubeattie.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ubeattie/profrep/issues
Pkgdown/docs site:https://ubeattie.github.io
Datasets:
- example_two_point_data - Example Data: Two Point Data
- sparrow_repeatability_three_point - Example Data: Sparrow Repeatability
- synthetic_data_four_point - Example Data: Synthetic 4-Point Data
Last updated from:6de9e06d64. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 113 | ||
| source / vignettes | OK | 156 | ||
| linux-release | OK | 124 | ||
| macos-release | OK | 138 | ||
| macos-oldrel | OK | 184 | ||
| windows-devel | OK | 73 | ||
| windows-release | OK | 66 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 92 |
Exports:calculate_crossoversclean_datado_orderingfind_next_good_datapointget_varsprofrepretrieve_good_datascore_dfsscore_individual_dfsigmoid
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate the Number of Crossovers | calculate_crossovers |
| Clean Data by Interpolating Missing Values | clean_data |
| Score and Order Data | do_ordering |
| Example Data: Two Point Data | example_two_point_data |
| What Is the Next Non-Null Data Point? | find_next_good_datapoint |
| Calculate Group Variance | get_vars |
| Perform Profile Repeatability | profrep |
| Retrieve Indices of Non-Missing Data for a Specific Time Point | retrieve_good_data |
| Compute Profile Repeatability Score | score_dfs |
| Score an Individual Data Frame | score_individual_df |
| Calculates the sigmoid function of the input | sigmoid |
| Example Data: Sparrow Repeatability (3 Point Data) | sparrow_repeatability_three_point |
| Example Data: Synthetic 4-Point Data | synthetic_data_four_point |