get_nonmobiles: Parse a vector of User Agent strings to distinguish mobiles...
In kylepeyton/attentive: Parse UserAgent strings of survey respondents
Description
Usage
Arguments
Value
Author(s)
Examples
View source: R/get_nonmobiles.R
Description
Parse a vector of User Agent strings and return a binary vector identifying mobiles (1 = non-mobile, 0 = mobile).
Usage
1
get_nonmobiles(ua_strings)
Arguments
ua_strings
A vector of User Agent strings. Note that missing values cannot be parsed and a vector with NA elements will generate an error.
Value
Binary vector the same length as ua_strings (default).
Author(s)
Kyle Peyton <kyle.peyton@yale.edu>
Examples
1
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3
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5
6
7
data(agents)
## Extract binary vector (1 = non-mobile, 0 = mobile)
nonmobiles <- get_nonmobiles(ua_strings = agents)
## proportion of "attentive" respondents (those not coming from mobile phones)
mean(nonmobiles)
kylepeyton/attentive documentation built on Jan. 1, 2021, 8:16 a.m.
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Description Usage Arguments Value Author(s) Examples
View source: R/get_nonmobiles.R
Description
Parse a vector of User Agent strings and return a binary vector identifying mobiles (1 = non-mobile, 0 = mobile).
Usage
1 | get_nonmobiles(ua_strings)
|
Arguments
ua_strings |
A vector of User Agent strings. Note that missing values cannot be parsed and a vector with |
Value
Binary vector the same length as ua_strings (default).
Author(s)
Kyle Peyton <kyle.peyton@yale.edu>
Examples
1 2 3 4 5 6 7 | data(agents)
## Extract binary vector (1 = non-mobile, 0 = mobile)
nonmobiles <- get_nonmobiles(ua_strings = agents)
## proportion of "attentive" respondents (those not coming from mobile phones)
mean(nonmobiles)
|
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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