plot_ACWR: ACWR plots using d3.js

In ACWR: Acute Chronic Workload Ratio Calculation

ACWR plots using d3.js

Description

ACWR plots using d3.js

Usage

plot_ACWR(
  db,
  TL,
  ACWR,
  day,
  ID = NULL,
  colour = NULL,
  xLabel = NULL,
  y0Label = NULL,
  y1Label = NULL,
  plotTitle = NULL
)

Arguments

db	a data frame
TL	training load
ACWR	Acute Chronic Workload Ratio
day	training days
ID	ID of the subjects
colour	colour of the bars. By default "#87CEEB" (skyblue)
xLabel	x-axis label. By default "Days"
y0Label	left y-axis label. By default "Load [AU]"
y1Label	right y-axis label. By default "Acute:chronic worload ratio"
plotTitle	Title of the plot. By default "ACWR"

Value

This function returns a d3.js object for a single subject. For several subjects it returns a list of d3.js objects.

Examples

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

# Set temporary directory
setwd(tempdir())

# Read db
data("training_load", package = "ACWR")

# Convert to data.frame
training_load_db <- data.frame(training_load)

# Calculate ACWR
result_ACWR <- ACWR(db = training_load_db,
                 ID = "ID",
                 TL = "TL",
                 weeks = "Week",
                 days = "Day",
                 training_dates = "Training_Date",
                 ACWR_method = c("EWMA", "RAC", "RAU"))

# Plot for 1 subject
# Select the first subject
result_ACWR_1 <- result_ACWR[result_ACWR[["ID"]] == 1,  ]

# plot ACWR (e.g. EWMA)
ACWR_plot_1 <- plot_ACWR(db = result_ACWR_1,
                         TL = "TL",
                         ACWR = "EWMA_ACWR",
                         day = "Day")

# Plot for several subjects
# plot ACWR (e.g. RAC)
ACWR_plot <- plot_ACWR(db = result_ACWR,
                         TL = "TL",
                         ACWR = "RAC_ACWR",
                         day = "Day",
                         ID = "ID")

# set user working directory
setwd(oldwd)

## End(Not run)

ACWR documentation built on March 18, 2022, 6:10 p.m.