Manage Data from Cardiopulmonary Exercise Testing


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Documentation for package ‘spiro’ version 0.1.2

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spiro-package spiro: Work with data from cardiopulmonary exercise testing
add_bodymass Calculate additional variables related to body mass for cardiopulmonary exercise testing data
add_hr Import and apply heart rate data to cardiopulmonary exercise testing data
add_protocol Add a test protocol to an exercise testing dataset
bw_filter Smooth data with a (zero-phase) Butterworth filter
get_anonid Get the anonymization id from personal data
get_protocol Guess a test protocol from a corresponding exercise testing dataset
knit_print.spiro Printing spiro data frames in a knitr context
print.spiro Printing spiro data frames
pt_const Setting an exercise testing profile
pt_pre Setting an exercise testing profile
pt_steps Setting an exercise testing profile
pt_wu Setting an exercise testing profile
set_protocol Setting an exercise testing profile
set_protocol_manual Manually setting a testing profile
set_protocol_manual.data.frame Manually setting a testing profile
set_protocol_manual.default Manually setting a testing profile
spiro Process raw data from metabolic carts/spiroergometric measures
spiro_example Get path to spiro example
spiro_import Import raw data from spiroergometric devices
spiro_max Return maximum values from cardiopulmonary exercise tests
spiro_plot Plot data from cardiopulmonary exercise data files
spiro_smooth Apply a smoothing filter to data from cardiopulmonary exercise testing.
spiro_summary Stepwise summarize data from cardiopulmonary exercise testing