calc_CorrelationLength: Calculate the Correlation length

Description Usage Arguments Value Examples

View source: R/calc_CorrelationLength.R

Description

Function to calculate the correlation length.

Usage

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Arguments

data

data.frame (required): A log file imported with import_Data.

plot

logical (optional): TRUE to plot the graphs produced by acf.

Value

A plot and a numeric value of the correlation length.

Examples

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# Load example data
file <- system.file("extdata/raw.log", package = "roughness")
data <- import_Data(file)

# find and remove outliers
data_cleaned <- find_Outliers(data = data,
                              prefilter = TRUE,
                              method = c("iqr", "sd", "mad"),
                              remove = "mad",
                              window = FALSE,
                              width = 20,
                              step = 10, 
                              hist = TRUE,
                              plot = TRUE)
                              
# de-trend the data set
data_detrend <- detrend_Data(data_cleaned, plot = TRUE)

# calculate RMS
CL <- calc_CorrelationLength(data_detrend, plot = TRUE)
print(CL)

tzerk/roughness documentation built on May 3, 2019, 2:05 p.m.