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Validationscript.R
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Validationscript.R
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## Needed libraries
library(dplyr)
library(readxl)
Appleproject <- read_excel("Appleproject.xlsx",
sheet = "Master_Data")
View(Appleproject)
attach(Appleproject)
Appleproject <- Appleproject %>% mutate(BMI = Weight/(Height^2))
## Convert Stage from numeric to factor variable
Stage <- as.factor(Stage)
## Subset for the Stage perioids on Running test after VO2
All <- subset(Appleproject, select = c("Apple","Polar"))
Stage_2 <- subset(Appleproject, Stage == "2",
select = c("Apple","Polar"))
Stage_3 <- subset(Appleproject, Stage == "3",
select = c("Apple","Polar"))
library(psych)
## ICC psych package
ICC(All)
ICC(Stage_2)
ICC(Stage_3)
## ICC irr package
library(irr)
icc(Stage_2, model = "twoway",
type = "agreement", unit = "average")
## Descriptives
Sex <- as.factor(Sex)
Descriptives <- subset(Appleproject, Stage == "2",
select = c("Age","Sex","Height","Weight", "BMI","VO2max"))
describe(Descriptives)
describeBy(Descriptives,Descriptives$Sex)
library(blandr)
library(ggplot2)
#standard BA plot
blandr.draw(Stage_3$Apple,Stage_3$Polar,
plotTitle = "Bland-Altman plot of Apple Watch 6 and Polar H-10",
ciDisplay = FALSE,
ciShading = FALSE) +
theme_classic()
ggsave("BA_S3.png")
## plot with proportional bias
blandr.draw(Stage_3$Apple,Stage_3$Polar,
plotTitle = "Bland-Altman plot of Apple Watch 6 and Polar H-10",
ciDisplay = FALSE,
ciShading = FALSE, plotProportionalBias = TRUE) +
theme_classic()
ggsave("1-BA_proportionalbias_S3.png")