par_fuzzy_block: A parallel wrapper for the fuzzy_block() function; should...
In tweed1e/matchtools: Tools For Matching Firms From Different Datasets
Description
Usage
Arguments
Value
Examples
Description
Split postal code table into list based on FSAs, return blocks of all of them.
Usage
1
par_fuzzy_block(clusters = 4, postal_input, postal_coords)
Arguments
clusters
Number of clusters to pass to parallel::parLapply()
postal_input
A list similar to input into fuzzy_block(), but can be much larger
postal_coords
A tbl Similar to input into fuzzy_block()
Value
Geography pairs to block on.
Examples
1
2
3
4
library(postalcodes)
par_fuzzy_block_(clusters = 4,
postal_inp = postal_coords[1:500, ]$postalcode,
postal_coords = postal_coords)
tweed1e/matchtools documentation built on May 29, 2019, 10:51 a.m.
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Description Usage Arguments Value Examples
Description
Split postal code table into list based on FSAs, return blocks of all of them.
Usage
1 | par_fuzzy_block(clusters = 4, postal_input, postal_coords)
|
Arguments
clusters |
Number of clusters to pass to parallel::parLapply() |
postal_input |
A list similar to input into fuzzy_block(), but can be much larger |
postal_coords |
A tbl Similar to input into fuzzy_block() |
Value
Geography pairs to block on.
Examples
1 2 3 4 | library(postalcodes)
par_fuzzy_block_(clusters = 4,
postal_inp = postal_coords[1:500, ]$postalcode,
postal_coords = postal_coords)
|
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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