Title:	Maximal Fat Oxidation and Kinetics Calculation
Version:	0.1.0
Description:	Calculate the maximal fat oxidation, the exercise intensity that elicits the maximal fat oxidation and the SIN model to represent the fat oxidation kinetics. Three variables can be obtained from the SIN model: dilatation, symmetry and translation. Examples of these methods can be found in Montes de Oca et al (2021) <doi:10.1080/17461391.2020.1788650> and Chenevière et al. (2009) <doi:10.1249/MSS.0b013e31819e2f91>.
License:	MIT + file LICENSE
Encoding:	UTF-8
LazyData:	true
RoxygenNote:	7.1.1
URL:	https://github.com/JorgeDelro/MFO
BugReports:	https://github.com/JorgeDelro/MFO/issues
Imports:	stats, dplyr, ggplot2, magrittr, tibble, minpack.lm, openxlsx, readxl, stringr, tidyr
Depends:	R (≥ 2.10)
Suggests:	covr, testthat (≥ 3.0.0)
Config/testthat/edition:	3
NeedsCompilation:	no
Packaged:	2022-02-10 18:15:10 UTC; jorge
Author:	Jorge R Fernandez-Santos [aut, cre], Jesus G Ponce-Gonzalez [ctb], Cristina Casals [ctb], Jose L Gonzalez-Montesinos [ctb], Juan Corral-Perez [ctb], Alejandro Perez-Bey [ctb]
Maintainer:	Jorge R Fernandez-Santos <jorgedelrosario.fernandez@uca.es>
Repository:	CRAN
Date/Publication:	2022-02-11 19:00:13 UTC

Maximal Fat Oxidation & Fat Max Function

Description

Maximal Fat Oxidation & Fat Max Function

Usage

MFO(
  step_time,
  db_MFO,
  db_basal,
  db_graded = NULL,
  cv_var,
  author,
  VO2max = NULL
)

Arguments

Value

Returns a list which contains:

• MFO_db: database used to create the MFO plot.

• MFO_plot: ggplot object with the MFO plot.

• MFO: Maximal fat oxidation.

• FAT_MAX: Intensity that elicits MFO.

• x_CHO: carbohydrates in basal metabolism.

• x_FAT: fat in basal metabolism.

• x_Kcal: Kcal in basal metabolism.

Examples

## Not run: 
# Get old working directory
oldwd <- getwd()

# Set temporary directory
setwd(tempdir())

# Read dfs
data(list = c("basal_df", "MFO_df", "VO2max_df"), package = "MFO")

# Convert to data.frame
basal_df <- data.frame(basal_df)
MFO_df <- data.frame(MFO_df)
VO2max_df <- data.frame(VO2max_df)

# Calculate MFO and Fatmax
result_MFO <- MFO(step_time = 20,
                 db_MFO = MFO_df,
                 db_basal = basal_df,
                 db_graded = VO2max_df,
                 cv_var = "RER",
                 author = "Frayn",
                 VO2max = NULL)

# set user working directory
setwd(oldwd)

## End(Not run)

MFO test dataframe

Description

A dataframe with the results of a test to assess MFO metabolism

Usage

data(MFO_df)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 45 rows and 8 columns.

Variables

Time

time test, in minutess

HR

heart rate, in beats/min

VO2

volume of oxygen consumption, in ml/min

VCO2

volume of exhaled carbon dioxide, in ml/min

RER

respiratory exchange ratio

VE

ventilation, in l/min

PETCO2

end-tidal carbondioxide pressure, in mmHg

Maximal Fat Oxidation Kinetics

Description

Maximal Fat Oxidation Kinetics

Usage

MFO_kinetics(MFO_data)

Arguments

Value

Returns a list which contains:

• MFO_kinetics_data: database used to create the MFO kinetics plot.

• MFO_kinetics_plot: ggplot object with the MFO kinetics plot.

• d: dilatation.

• t: translation.

• s: symmetry.

Examples

## Not run: 
# Get old working directory
oldwd <- getwd()

# Set temporary directory
setwd(tempdir())

# Read dfs
data(list = c("basal_df", "MFO_df", "VO2max_df"), package = "MFO")

# Convert to data.frame
basal_df <- data.frame(basal_df)
MFO_df <- data.frame(MFO_df)
VO2max_df <- data.frame(VO2max_df)

# Calculate MFO and Fatmax
result_MFO <- MFO(step_time = 20,
                 db_MFO = MFO_df,
                 db_basal = basal_df,
                 db_graded = VO2max_df,
                 cv_var = "RER",
                 author = "Frayn",
                 VO2max = NULL)

# Calculate MFO Kinetics
result_MFO_kinetics <- MFO_kinetics(result_MFO$MFO_db)

# set user working directory
setwd(oldwd)

## End(Not run)

Maximal Fat Oxidation calculation of multiple databases

Description

Maximal Fat Oxidation calculation of multiple databases

Usage

MFOs(
  from = c("folder", "files"),
  path,
  db_basal_name,
  db_MFO_name,
  db_graded_name,
  step_time,
  cv_var,
  author,
  VO2max = NULL,
  remove_rows = NULL,
  col_name_VO2 = "VO2",
  col_name_VCO2 = "VCO2",
  col_name_RER = "RER",
  col_name_HR = "HR",
  save_plot = TRUE,
  save_result = TRUE
)

Arguments

Value

This function creates an .xlsx file in the working directory with the following variables:

• MFO_db: database used to create the MFO plot.

• MFO_plot: ggplot object with the MFO plot.

• MFO: Maximal fat oxidation.

• FAT_MAX: Intensity that elicits MFO.

• x_CHO: carbohydrates in basal metabolism.

• x_FAT: fat in basal metabolism.

• x_Kcal: Kcal in basal metabolism.

Examples

## Not run: 
# Get old working directory
oldwd <- getwd()

# Set temporary directory
setwd(tempdir())

# Create path to store databases
dir.create(paste(getwd(),"/MFO_databases", sep = ""))
# Get path to databases
path <- paste(getwd(),"/MFO_databases", sep = "")

# MFOs function
# "path" is the path to the databases
MFOs <- function(from = "folder",
                 path = path,
                 db_basal_name = "basal_df",
                 db_MFO_name = "MFO_df",
                 db_graded_name = "graded_df",
                 step_time = 20,
                 cv_var = "RER",
                 author = "Frayn",
                 VO2max = NULL,
                 remove_rows = NULL,
                 col_name_VO2 = "VO2",
                 col_name_VCO2 = "VCO2",
                 col_name_RER = "RER",
                 col_name_HR = "HR",
                 save_plot = TRUE,
                 save_result = TRUE)

# set user working directory
setwd(oldwd)

## End(Not run)

Graded exercise test dataframe

Description

A dataframe with the results of a graded exercise test

Usage

data(VO2max_df)

Format

An object of class tbl_df (inherits from tbl, data.frame) with 30 rows and 9 columns.

Variables

Time

time test, in minutess

HR

heart rate, in beats/min

Load

Load of the test, in watts

VO2

volume of oxygen consumption, in ml/min

VCO2

volume of exhaled carbon dioxide, in ml/min

RER

respiratory exchange ratio

VE

ventilation, in l/min

PETCO2

end-tidal carbondioxide pressure, in mmHg

Basal test dataframe

Description

A dataframe with the results of a test to assess basal metabolism

Usage

data(basal_df)

Format

A data frame with 88 rows and 8 variables:

Time

time test, in minutess

HR

heart rate, in beats/min

VO2

volume of oxygen consumption, in ml/min

VCO2

volume of exhaled carbon dioxide, in ml/min

RER

respiratory exchange ratio

BF

breathe frequency, in breaths/min

VE

ventilation, in l/min

PETCO2

end-tidal carbondioxide pressure, in mmHg

Calculate steps

Description

Calculate steps

Usage

calculate_steps(step_time, db, db_type)

Arguments

Calculation of CHO, FAT and Kcal

Description

Calculation of CHO, FAT and Kcal

Usage

calculate_vars(step_time, db_MFO, VO2max, author)

Arguments

Get a 5 minutes database

Description

Get a 5 minutes database

Usage

get_5min(db, cv_var, n_row)

Arguments

Basal metabolic rate

Description

Basal metabolic rate

Usage

met_basal(step_time, db, cv_var)

Arguments

Read databases for MFO package

Description

Read databases for MFO package

Usage

read_MFO_databases(
  from = c("folder", "files"),
  path,
  db_basal_name,
  db_MFO_name,
  db_graded_name,
  col_name_VO2,
  col_name_VCO2,
  col_name_RER,
  col_name_HR,
  remove_rows = NULL
)

Arguments

Value

Returns 3 databases:

• participant_db_basal: database with basal metabolism.

• participant_db_MFO: database with MFO test.

• participant_db_graded: graded exercise test.