csv_to_serial: Convert a CSV into a serial mapping suitable for Contextractr
In mstr3336/contextractr: Contextractr - Fuzzy Extraction and Classification by Context
Description
Usage
Arguments
Value
Examples
Description
Given a csv, with one row per keyword + approx.match specifier, grouped
according to "title" (Single value for title may span multiple keywords)
transform this to something digestable by contextractr.
Usage
1
Arguments
df
the input dataframe, more or less a raw csv
Value
the input df, serialized.
Examples
1
2
3
4
5
6
7
if (requireNamespace("readr", quietly = TRUE)){
in_csv <- readr::read_csv("../../tests/testthat/csv_specifier.csv")
print(in_csv)
out <- in_csv %>% csv_to_serial()
if (requireNamespace("utils", quietly = TRUE)) utils::str(out)
}
mstr3336/contextractr documentation built on Aug. 10, 2020, 12:46 a.m.
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Description Usage Arguments Value Examples
Description
Given a csv, with one row per keyword + approx.match specifier, grouped according to "title" (Single value for title may span multiple keywords) transform this to something digestable by contextractr.
Usage
1 |
Arguments
df |
the input dataframe, more or less a raw csv |
Value
the input df, serialized.
Examples
1 2 3 4 5 6 7 | if (requireNamespace("readr", quietly = TRUE)){
in_csv <- readr::read_csv("../../tests/testthat/csv_specifier.csv")
print(in_csv)
out <- in_csv %>% csv_to_serial()
if (requireNamespace("utils", quietly = TRUE)) utils::str(out)
}
|
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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