lineprof: Identifies significant changes in a changing data set with...

In jbrabazon13/profilr: Identifies significant changes in a changing data set with time

Description

lineprof identifies the most significant statistical change in mean, variance, or both mean and variance in the data (often pixel data) as specified by user on changing datasets

Usage

lineprof(data, L_per_pix = 1, type = "meanvar")

Arguments

data	a dataframe by read.csv of a .csv created from using the ImageJ macro found in vignette. Or simply a dataframe with each column representing a new instance (with potential changes) of a data set of same N
L_per_pix	a unit conversion of length per pixel, or desired unit per data unit default = 1 or no conversion
type	type of changepoint desired. Choose between "meanvar" (mean and variance), "mean", "variance", and "all" (changepoints for meanvar, mean, and variance); note the default is "meanvar" see Killick et al., 2013 for more details

Value

results in a dataframe with time interval, filename, changepoint in units of original data, a conversion labeled as unit.length

Examples

changepoint_df <- lineprof(data = df, L_per_pix = 0.123, type = "mean")
changepoint_df <- lineprof(data = df, L_per_pix = 500, type = "variance")

jbrabazon13/profilr documentation built on May 20, 2019, 2:58 p.m.