knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
When trying to solve a problem, part of the process is to research what attempts
have been made by others. The most common form of research is to query
a search portal. One downside to this approach is that each search portal has
its own set of operators or query phrasing that will yield relevant content.
As a result, those that have domain knowledge are able to format the
search query in a way that is better. Still many queries are not constrained
enough to the programming language being used. The goal of searcher
is to
attempt to address both needs by providing a convenient pre-specified search
interface that tailors the results to R.
To begin using searcher
, first install the package from
CRAN.
# Install the searcher package if not already installed install.packages("searcher")
Once installed, searching with searcher
is done by using one or more of the
search_*()
functions. To access these functions, either use a namespace
function call of searcher::search_*()
or load the searcher
package and,
then, call the function.
# Loads the searcher package library("searcher") # Searches using Google for `tips` search_google("tips")
Within the searcher
package, each search_*()
function has the parameter
of rlang = TRUE
. By default, this enforces a search that guarantees
R-specific results. If rlang = FALSE
, then the results are generalized.
"r programming"
to the end of the query to
constrain the results to be R-specific."r programming"
was selected because it performed best when compared
to "rlang"
, "rstats"
, and "r language"
on Google Trends.<query> + [r]
<query> + #rstats
<query>
<query>
<query> language:r type:issue
<query> lang:r
To improve your R-related search query, it has been suggested to use:
"r how to do <x>"
"r how to remove legends in ggplot"
"<package name> <problem>"
"ggplot2 fix x-axis labels."
r
and instead
focusing on the package name at the start of the query."r <package-name> <problem> <year> site:<specific-site>
"r ggplot2 center graph title 2018 site:stackoverflow.com
Suggestions here were pooled from discussion on rOpenSci's slack with Steph Locke and Robert Mitchell.
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