| Type: | Package |
| Title: | Basic Pattern Analysis |
| Version: | 0.1.1 |
| Date: | 2016-04-03 |
| Description: | Run basic pattern analyses on character sets, digits, or combined input containing both characters and numeric digits. Useful for data cleaning and for identifying columns containing multiple or nonstandard formats. |
| Depends: | base |
| Imports: | magrittr, plyr |
| Suggests: | testthat, knitr, rmarkdown |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/bgreenwell/bpa |
| BugReports: | https://github.com/bgreenwell/bpa/issues |
| RoxygenNote: | 5.0.1 |
| VignetteBuilder: | knitr |
| NeedsCompilation: | no |
| Packaged: | 2016-04-03 23:53:13 UTC; w108bmg |
| Author: | Brandon Greenwell [aut, cre] |
| Maintainer: | Brandon Greenwell <greenwell.brandon@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2016-04-04 08:37:03 |
Pipe operator
Description
See %>% for more details.
Usage
lhs %>% rhs
Basic Pattern Analysis
Description
Perform a basic pattern analysis
Usage
get_pattern(x, show_ws = TRUE, ws_char = "w")
basic_pattern_analysis(x, unique_only = FALSE, show_ws = TRUE,
ws_char = "w", useNA = c("no", "ifany", "always"), ...)
## Default S3 method:
basic_pattern_analysis(x, unique_only = FALSE,
show_ws = TRUE, ws_char = "w", useNA = c("no", "ifany", "always"), ...)
## S3 method for class 'data.frame'
basic_pattern_analysis(x, unique_only = FALSE,
show_ws = TRUE, ws_char = "w", useNA = c("no", "ifany", "always"), ...)
bpa(x, ...)
Arguments
x |
A data frame or character vector. |
show_ws |
Logical indicating whether or not to show whitespace
using a special character. Default is |
ws_char |
Character string to use to depict whitespace when
|
unique_only |
Logical indicating whether or not to only show the unique
patterns. Default is |
useNA |
Logical indicating whether to include |
... |
Additional optional arguments to be passed onto |
Examples
basic_pattern_analysis(iris)
basic_pattern_analysis(iris, unique_only = TRUE)
Pattern Matching
Description
Extract values from a vector that match a particular pattern.
Usage
match_pattern(x, pattern, unique_only = FALSE, ...)
Arguments
x |
A vector, typically of class |
pattern |
Character string specifying the particular pattern to match. |
unique_only |
Logical indicating whether or not to only return unique
values. Default is |
... |
Additional optional arguments to ba passed onto
|
Details
The pattern specified by the required argument pattern must be a valid
pattern produced by the get_pattern function. That is, all digits
should be represented by a "9", lowercase/uppercase letters by a
"a"/"A", etc.
Examples
phone <- c("123-456-7890", "456-7890", "123-4567", "456-7890")
match_pattern(phone, pattern = "999-9999")
match_pattern(phone, pattern = "999-9999", unique_only = TRUE)
Simulated Data
Description
Simulated (messy) data set to help illustrate some of the uses of basic pattern analysis.
Format
A data frame with 1000 rows and 3 variables
Details
-
GenderGender in various formats. -
DateDates in various formats. Phone Phone numbers in various formats.
Examples
data(messy)
bpa(messy, unique_only = TRUE, ws_char = " ")
Remove Leading/Trailing Whitespace
Description
Remove leading and/or trailing whitespace from character strings.
Usage
trim_ws(x, which = c("both", "left", "right"))
Arguments
x |
A data frame or vector. |
which |
A character string specifying whether to remove both leading and
trailing whitespace (default), or only leading ( |
Examples
# Toy example
d <- data.frame(x = c(" a ", "b ", "c"),
y = c(" 1 ", "2", " 3"),
z = c(4, 5, 6))
print(d) # print data as is
trim_ws(d) # print data with whitespace trimmed off
sapply(trim_ws(d), class) # check that column types are preserved