get_retain_users_n_days: 分析新老各段新增用户的留存贡献
In catlain/LTV:
View source: R/get_retain_users_n_days.R
get_retain_users_n_days R Documentation
分析新老各段新增用户的留存贡献
Description
已知每日新增及留存曲线后，按新增日与活跃日的间隔计算距计算日新老程度不同的用户群对计算日DAU的贡献，
Usage
get_retain_users_n_days(retain_users_detail, total_days, start_n, end_n)
Arguments
retain_users_detail:
各日新增在每日的留存明细，通过实际新增和每日留存曲线计算得到。
total_days:
需要计算DAU的总天数，与真实新增>0的天数相同。
start_n:
活跃日距离计算日的最小天数
end_n:
活跃日距离计算日的最大天数
Value
数字向量
Examples
# get_retain_users_n_days(retain_users_detail = retain_users_detail, 10, 7, 30)
catlain/LTV documentation built on March 14, 2023, 8:17 a.m.
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View source: R/get_retain_users_n_days.R
| get_retain_users_n_days | R Documentation |
分析新老各段新增用户的留存贡献
Description
已知每日新增及留存曲线后，按新增日与活跃日的间隔计算距计算日新老程度不同的用户群对计算日DAU的贡献，
Usage
get_retain_users_n_days(retain_users_detail, total_days, start_n, end_n)
Arguments
retain_users_detail: |
各日新增在每日的留存明细，通过实际新增和每日留存曲线计算得到。 |
total_days: |
需要计算DAU的总天数，与真实新增>0的天数相同。 |
start_n: |
活跃日距离计算日的最小天数 |
end_n: |
活跃日距离计算日的最大天数 |
Value
数字向量
Examples
# get_retain_users_n_days(retain_users_detail = retain_users_detail, 10, 7, 30)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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