Package: awinR 0.1.0

awinR: Get Data from 'Awin' via the 'Windsor.ai' API

Collect your data on digital marketing campaigns from 'Awin' using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Authors:Pablo Sanchez [cre, aut], Windsor.ai [cph]

awinR_0.1.0.tar.gz
awinR_0.1.0.zip(r-4.5)awinR_0.1.0.zip(r-4.4)awinR_0.1.0.zip(r-4.3)
awinR_0.1.0.tgz(r-4.4-any)awinR_0.1.0.tgz(r-4.3-any)
awinR_0.1.0.tar.gz(r-4.5-noble)awinR_0.1.0.tar.gz(r-4.4-noble)
awinR_0.1.0.tgz(r-4.4-emscripten)awinR_0.1.0.tgz(r-4.3-emscripten)
awinR.pdf |awinR.html
awinR/json (API)
NEWS

# Install 'awinR' in R:
install.packages('awinR', repos = c('https://pablosanmar.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • my_awin_data - Sample of digital marketing data from Awin downloaded by means of the Windsor.ai API.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 3 scripts 224 downloads 1 exports 1 dependencies

Last updated 2 years agofrom:95ac56fa7b. Checks:OK: 6 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:fetch_awin

Dependencies:jsonlite

tutorial

Rendered fromtutorial.Rmdusingknitr::rmarkdownon Nov 01 2024.

Last update: 2022-11-30
Started: 2022-11-30