Package: cycleRtools 1.1.1

Jordan Mackie

cycleRtools: Tools for Cycling Data Analysis

A suite of functions for analysing cycling data.

Authors:Jordan Mackie [aut, cre]

cycleRtools_1.1.1.tar.gz
cycleRtools_1.1.1.zip(r-4.5)cycleRtools_1.1.1.zip(r-4.4)cycleRtools_1.1.1.zip(r-4.3)
cycleRtools_1.1.1.tgz(r-4.4-x86_64)cycleRtools_1.1.1.tgz(r-4.4-arm64)cycleRtools_1.1.1.tgz(r-4.3-x86_64)cycleRtools_1.1.1.tgz(r-4.3-arm64)
cycleRtools_1.1.1.tar.gz(r-4.5-noble)cycleRtools_1.1.1.tar.gz(r-4.4-noble)
cycleRtools_1.1.1.tgz(r-4.4-emscripten)cycleRtools_1.1.1.tgz(r-4.3-emscripten)
cycleRtools.pdf |cycleRtools.html
cycleRtools/json (API)
NEWS

# Install 'cycleRtools' in R:
install.packages('cycleRtools', repos = c('https://jmackie.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jmackie4/cyclertools/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

3.00 score 3 stars 33 scripts 521 downloads 35 exports 4 dependencies

Last updated 9 years agofrom:25a1f8f496. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:as.cycleRdataconvert_from_timeconvert_to_timediff_sectiondownload_elev_dataelevation_correctGC_activityGC_metricsGC_mmvsinterval_detectis.cycleRdataLTmmvmmv2NPPt_modelpwr_TRIMPread_fitread_pwxread_rideread_srmread_tcxresetride_timerollmean_rollmean_nunifrollmean_smthsmth_plotTSSWbalWbal_xPowerzdist_plotzone_indexzone_time

Dependencies:cliRcpprlangxml2

Analysing Cycling Data with R

Rendered fromcycling_data_analysis.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2016-01-18
Started: 2016-01-16

Readme and manuals

Help Manual

Help pageTopics
Reformat time.convert_from_time convert_time convert_to_time
cycleRdata classas.cycleRdata cycleRdata is.cycleRdata
Section data according to breaks.diff_section
Download geographical elevation data.download_elev_data
Generate reliable elevation data.elevation_correct
GoldenCheetah (>v3.3) interface.GC GC_activity GC_metrics GC_mmvs
Detect Intervals in a Ride.interval_detect
Lactate ThresholdsLT
Maximal mean values.mmv
Efficient maximal mean values.mmv2
Plot cycling data.plot.cycleRdata
Predict Power or Timepredict.Ptmodels
Power-time modelling.Pt_model
Power-time profile.Pt_prof
Read cycling device data.read_fit read_pwx read_ride read_srm read_tcx
Reset a dataset or vector.reset
Example cycling data.intervaldata ridedata ride_examples
Rolling average smoothing.rollmean_ rollmean_smth
Rolling mean for nonuniform data.rollmean_nunif
Smoothed data plot.smth_plot
Summary metrics.NP pwr_TRIMP ride_time summary_metrics TSS xPower
Summary method for cycleRdata class.summary.cycleRdata
W' balance.Wbal Wbal_
Zone-time distribution plot.zdist_plot
Index zones.zone_index
Calculate time in zones.zone_time