keyDiagnostic: Diagnose accuracy of result from applying variable key to...

In kutils: Project Management Tools

Diagnose accuracy of result from applying variable key to data

Description

Compare the old and new data frames, checking for accuracy of calculations in various ways.

Usage

keyDiagnostic(
  dfold,
  dfnew,
  keylist,
  max.values = 20,
  nametrunc = 18,
  wide = 200,
  confidential = FALSE
)

Arguments

dfold	Original data frame
dfnew	The new recoded data frame
keylist	The imported variable key that was used to transform dfold into dfnew.
max.values	Show up to this number of values for the old variable
nametrunc	Truncate column and row names. Needed if there are long factor labels and we want to fit more information on table. Default = 18 for new name, old name is 10 more characters (18 + 10 = 28).
wide	Number of characters per row in printed output. Suggest very wide screen, default = 200.
confidential	Should numbers in table be rounded to nearest "10" to comply with security standard enforced by some American research departments.

Details

CAUTION: This can print WIDE matrices. Because the on-screen output will be WIDE, make the display window WIDE!

Crosstabulate new variable versus old variable to see the coding mismatches. For tables of up to 10 values or so, that will be satisfactory.

For numeric variables, it appears there is no good thing to do except possibly to re-apply any transformations.

Author(s)

Paul Johnson <[e-mail]>

kutils documentation built on Sept. 17, 2023, 5:06 p.m.