EFA.dimensions (version 0.1.8.1)

RECODE: Recode values in a vector

Description

Options for changing the numeric values in a vector to new numeric values

Usage

RECODE(data, old = NULL, new = NULL, type = 'reverse', max_value = NULL,
       real_min = NULL, real_max = NULL, new_min = NULL, new_max = NULL)

Value

The recoded data values

Arguments

data

A numeric vector, typically consisting of item responses.

old

(optional) A vector of the values in data to be recoded, e.g., old = c(1,2,3,4).

new

(optional) A vector of the values that should replace the old values, e.g., new = c(0,0,1,1).

type

(optional) The type of recoding if "old" and "new" are not specified. The options are 'reverse' (for reverse coding) and 'new_range' (for changing the metric/range).

max_value

(optional) For type = 'reverse' coding only. It is the maximum possible value for data (an item). This option is included for when max(data) is not the maximum possible value for an item (e.g., when the highest response option was never used).

real_min

(optional) For type = 'new_range' coding only. The minimum possible value for data.

real_max

(optional) For type = 'new_range' coding only. The maximum possible value for data.

new_min

(optional) For type = 'new_range' coding only. The desired, new minimum possible value for data.

new_max

(optional) For type = 'new_range' coding only. The desired, new maximum possible value for data.

Author

Brian P. O'Connor

Details

When 'old' and 'new' are specified, the data values in the 'old' vector are replaced with the values in the same ordinal position in the 'new' vector, e.g., occurrences of the second value in 'old' in data are replaced with the second value in 'new' in data.

Regarding the type = 'new_range' option: Sometimes the items in a pool have different response option ranges, e.g., some on a 5-point scale and others on a 6-point scale. The type = 'new_range' option changes the metric/range of a specified item to a desired metric, e.g., so that scales scores based on all of the items in the pool can be computed. This alters item scores and the new item values may not be integers. Specifically, for each item response, the percent value on the real/used item is computed. Then the corresponding value on the desired new item metric for the same percentage is found.

Examples

data <- c(1,2,3,4,1,2,3,4)	
print(RECODE(data, old = c(1,2,3,4), new = c(1,1,2,2)) )

print(RECODE(data, type = 'reverse'))	
# \donttest{
# reversing coding the third item (Q3) of the Rosenberg Self-Esteem scale data
data_RSE_rev <- RECODE(data_RSE[,'Q3'], type = 'reverse')
table(data_RSE_rev); table(data_RSE[,'Q3'])

# changing the third item (Q3) responses for the Rosenberg Self-Esteem scale data
# from 0-to-4 to 1-to-5
data_RSE_rev <- RECODE(data_RSE[,'Q3'], old = c(0,1,2,3,4), new = c(1,2,3,4,5))
table(data_RSE_rev); table(data_RSE[,'Q3'])

# changing the metric/range of the third item (Q3) responses for the 
# Rosenberg Self-Esteem scale data
data_RSE_rev <- RECODE(data_RSE[,'Q3'], type = 'new_range', 
                 real_min = 1, real_max = 4, new_min = 1, new_max = 5 ) 
table(data_RSE_rev); table(data_RSE[,'Q3'])
# }