rt_campaign_to_markov_paths: adds converts campaign data to path data in the format...

In shane-kercheval/rtools: Package providing R tools and wrappers

adds converts campaign data to path data in the format expected by ChannelAttribution::markov_model & ChannelAttribution::heuristic_models

Description

adds converts campaign data to path data in the format expected by ChannelAttribution::markov_model & ChannelAttribution::heuristic_models

Usage

rt_campaign_to_markov_paths(
  .campaign_data,
  .id = "id",
  .path_id = ".path_id",
  .step = "step",
  .timestamp = "timestamp",
  .num_conversions = "num_conversions",
  .conversion_value = "conversion_value",
  .separate_paths_ids = TRUE,
  .sort = TRUE,
  .symbol = " > "
)

Arguments

.campaign_data	dataframe with columns 'id | timestamp | step | num_conversions | conversion_value'
.id	string identifying the id column
.path_id	string identifying the path_id column
.step	string identifying the step column
.timestamp	string identifying the timestamp column
.num_conversions	string identifying the num_conversions column
.conversion_value	string identifying the conversion_values column
.separate_paths_ids	if TRUE, each .path_id gets its own row & path_sequence. Each .id will be represented >= 1 times if FALSE, each person will only be counted once, with their entire path, and cumulative conversions/conversion-value/null-conversions
.sort	if true, the df is sorted by id, timestamp, conversion_values, & num_conversions; the dataframe needs to be sorted in this way to work, but this option let's the user avoid this action if it has already been done
.symbol	the symbol to separate the steps

shane-kercheval/rtools documentation built on July 7, 2022, 8:31 a.m.