summarize_conversions

The name of the column representing whether the user converted
(treated as FALSE if NA or FALSE, otherwise TRUE)

converted

Summarize Left-joined table into conversion count

Time-based joins to analyze sequence of events,
both in memory and out of memory. after_join() joins two
tables of events, while funnel_start() and funnel_step()
join events in the same table. With the type argument, you
can switch between different funnel types, like first-first
and last-firstafter.

Emily Robinson

funneljoin

Time-Based Joins to Analyze Sequences of Events

Anthony Baker

David Robinson

summarize_conversions function

<dl><dt>x</dt>
<dd>A tbl with one row per user</dd>
<dt>converted</dt>
<dd>The name of the column representing whether the user converted
(treated as FALSE if NA or FALSE, otherwise TRUE)</dd></dl>

Arguments

Summarize Left-joined table into conversion count — summarize_conversions

<dl>

<dt>x</dt>
<dd>A tbl with one row per user</dd>


<dt>converted</dt>
<dd>The name of the column representing whether the user converted
(treated as FALSE if NA or FALSE, otherwise TRUE)</dd>

</dl>

summarize_conversions: Summarize Left-joined table into conversion count

Description

Usage

Value

Arguments