README.md

In kylepeyton/attentive: Parse UserAgent strings of survey respondents

Implements simple procedure for identifying “attentive” survey respondents based on their User Agent string.

To install the most recent development release, use the following code:

install.packages("devtools")
devtools::install_github("kylepeyton/attentive")

Here is the basic syntax for classifying respondents who come from browsers as “attentive” and those coming from web applications as “inattentive” using the get_browsers() function:

library(attentive)

## Example dataset of 1000 User Agent strings
data(agents)

## Extract binary vector (1 = browser; 0 = web application)
browsers <- get_browsers(ua_strings = agents)

## Proportion of "attentive" respondents based on this approach
mean(browsers)
#> [1] 0.564

You can also classify those coming from non-mobile devices (e.g. tablets, desktops) as “attentive” and those coming from mobile devices as “inattentive” with the get_nonmobiles() function.

## Extract binary vector (1 = non-mobile, 0 = mobile)
nonmobiles <- get_nonmobiles(ua_strings = agents)

## Proportion of "attentive" respondents based on this approach
mean(nonmobiles)
#> [1] 0.427

kylepeyton/attentive documentation built on Jan. 1, 2021, 8:16 a.m.