rCompare {dataCompareR}

Compare two data frames

Description

Compare two data frames (or objects coercible to data frames) and produce a dataCompareR object containing details of the matching and mismatching elements of the data. See vignette("dataCompareR") for more details.

Usage

rCompare(
  dfA,
  dfB,
  keys = NA,
  roundDigits = NA,
  mismatches = NA,
  trimChars = FALSE
)

Arguments

dfA

data frame. The first data object. dataCompareR will attempt to coerce all data objects to data frames.

dfB

data frame. The second data object. dataCompareR will attempt to coerce all data objects to data frames.

keys

String. Name of identifier column(s) used to compare dfA and dfB. NA if no identifier (row order will be used instead), a character for a single column name, or a vector of column names to match of multiple columns

roundDigits

Integer. If NA, numerics are not rounded before comparison. If specified, numerics are rounded to the specified number of decimal places using round.

mismatches

Integer. The max number of mismatches to assess, after which dataCompareR will stop (without producing an dataCompareR object). Designed to improve performance for large data sets.

trimChars

Boolean. If true, strings and factors have whitespace trimmed before comparison.

Value

An dataCompareR object. An S3 object containing details of the comparison between the two data objects. Can be used with summary, print, saveReport and generateMismatchData

See Also

Other dataCompareR.functions: generateMismatchData(), print.dataCompareRobject(), saveReport(), summary.dataCompareRobject()

Examples

iris2 <- iris
iris2 <- iris2[1:130,]
iris2[1,1] <- 5.2
iris2[2,1] <- 5.2
rCompare(iris,iris2,key=NA)
compDetails <- rCompare(iris,iris2,key=NA, trimChars = TRUE)
print(compDetails)
summary(compDetails)

pressure2 <- pressure
pressure2[2,2] <- pressure2[2,2] + 0.01
rCompare(pressure2,pressure2,key='temperature')
rCompare(pressure2,pressure2,key='temperature', mismatches = 10)