extractWindowAroundIndices: returns windows aroung increasing series by group indices

In alesaccoia/alexr: Common routines and datasets for GIS and Big Data Research

Description

returns windows aroung increasing series by group indices

Usage

extractWindowAroundIndices(df, windowLength, startIndices, groupingVariable)

Arguments

df	Input dataframe, should contain a grouping column called groupingVariable
startIndices	Should contain the indices as start from the grouped series
groupingVariable	The name of the column that will be used for the inned join
windowLenght	Must be an odd number

Value

A new data frame containing just the matching columns

Examples

A <- data.frame(name = "A", valNumeric = c(1:9), valCategorical = c("YES","NO","MAYBE"))
B <- data.frame(name = "B", valNumeric = c(5:100), valCategorical = c('YES','NO'))
C <- data.frame(name = "C", valNumeric = c(5:7), valCategorical = c('green','green','blue'))
df <- rbind(A,B,C)
startIndices <- data.frame(name = c("A","B","C"), index = c(3,10,2))
ggplot(extractWindowAroundIndices(df, 5, startIndices, "name"), aes(position, valNumeric, color = name)) + geom_line()

alesaccoia/alexr documentation built on Dec. 19, 2021, 12:26 a.m.