fuzzyClean: Use clean fuzzy strings by using approximated string...
In Zanidean/sRa: Functions for improving the life of a research analyst.
Description
Usage
Arguments
Examples
Description
Use clean fuzzy strings by using approximated string matching. Use with caution.
Usage
1
fuzzyClean(vector, distance, iterations)
Arguments
vector
Vector containing strings to clean
distance
Distance between strings to match.
Can take a ratio or a whole number.
May also take a list as an argument as per agrep().
iterations
Number of itereations the function will do. A smart idea is to tune the function with low distance and high iterations.
Examples
1
df$Vector2 <- fuzzyClean(df$Vector1, 0.25, 5)
Zanidean/sRa documentation built on May 7, 2019, 7:44 a.m.
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Description Usage Arguments Examples
Description
Use clean fuzzy strings by using approximated string matching. Use with caution.
Usage
1 | fuzzyClean(vector, distance, iterations)
|
Arguments
vector |
Vector containing strings to clean |
distance |
Distance between strings to match. Can take a ratio or a whole number. May also take a list as an argument as per agrep(). |
iterations |
Number of itereations the function will do. A smart idea is to tune the function with low distance and high iterations. |
Examples
1 | df$Vector2 <- fuzzyClean(df$Vector1, 0.25, 5)
|
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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