An (Number of Items)x(Number of Domains) matrix such that each row corresponds to an indicator, and the entry in column i is the average REC score for that indicator with the other indicators in domain i. This will allow one in some sense to see if certain indicators seem to have higher REC scores in a domain other than to the other in which they were assigned
Usage
rec.pattern.matrix(
data,
domainlist = NULL,
domainnames = NULL,
labels = NULL,
na.rm = TRUE
)
Arguments
- data
A data.frame or tibble (required)
- domainlist
A list of character vectors or numeric vectors denoting the columns for each domain (required)
- domainnames
A character vector supplying updated names to be attached to output
- labels
A character vector supplying updated variable names to be attached to output
- na.rm
logical (defaults to TRUE)
Examples
# Use the SCWB data example
mylist <- list(
domain_goodrel = c("cwbcloserel", "cwbrespect", "cwbtrust", "cwbmutuality"),
domain_prolead = c("cwbbeneficence", "cwbintegrity", "cwbcompetence", "cwbvision"),
domain_healthyprac = c("cwbrelgrowth", "cwbfairness", "cwbsustenance", "cwbachieve"),
domain_satcomm = c("cwbsatisf", "cwbvalue", "cwbbelonging", "cwbwelcome"),
domain_strongmiss = c("cwbpurpose", "cwbcontrib", "cwbinterconn", "cwbsynergy")
)
rec.pattern.matrix(SCWB, mylist)
#> Item Domain1 Domain2 Domain3 Domain4
#> 1 cwbcloserel 0.16350864 -0.06530359 -0.05772553 0.047124129
#> 2 cwbrespect 0.20341777 -0.06832657 -0.06991176 0.057950739
#> 3 cwbtrust 0.22372552 -0.07130038 -0.04274413 0.047865281
#> 4 cwbmutuality 0.17258900 -0.05945567 -0.05670289 0.026732625
#> 5 cwbbeneficence -0.05341869 0.17633337 0.03712734 -0.060675160
#> 6 cwbintegrity -0.05785968 0.18528117 0.02152480 -0.056452884
#> 7 cwbcompetence -0.08235693 0.17883536 0.03139963 -0.041153557
#> 8 cwbvision -0.07075092 0.16842651 0.05037093 -0.061091257
#> 9 cwbrelgrowth -0.05823066 0.04050846 0.08350449 -0.054257648
#> 10 cwbfairness -0.04045646 0.04233389 0.09669485 -0.013165893
#> 11 cwbsustenance -0.06047999 0.01734252 0.12713391 -0.033705653
#> 12 cwbachieve -0.06791720 0.04023782 0.12149053 -0.050223390
#> 13 cwbsatisf 0.09032956 -0.06816411 -0.02045509 0.095829392
#> 14 cwbvalue 0.01251991 -0.07083475 -0.03511407 0.073925015
#> 15 cwbbelonging 0.03250483 -0.02942976 -0.03862983 0.076485998
#> 16 cwbwelcome 0.04431847 -0.05094424 -0.05715359 0.103403657
#> 17 cwbpurpose -0.02315045 -0.05192892 -0.02970909 0.092440499
#> 18 cwbcontrib -0.06956462 -0.03002393 0.01166753 0.008818949
#> 19 cwbinterconn -0.05909613 -0.04530498 -0.02006557 -0.072725619
#> 20 cwbsynergy -0.10818321 -0.03377517 -0.01127452 -0.081058059
#> Domain5
#> 1 -0.0552519881
#> 2 -0.0668988806
#> 3 -0.0990423663
#> 4 -0.0388011694
#> 5 -0.0475080610
#> 6 -0.0393667108
#> 7 -0.0329072571
#> 8 -0.0412509643
#> 9 0.0112924011
#> 10 -0.0498391659
#> 11 -0.0110588242
#> 12 0.0002239403
#> 13 -0.0702504693
#> 14 0.0355899295
#> 15 -0.0105548333
#> 16 -0.0073088567
#> 17 0.0265347085
#> 18 0.1095879704
#> 19 0.2120181880
#> 20 0.2413640001