calculate_cdr_plus_nacc_ftld: Calculate Global CDR® plus NACC FTLD Rating

In NeuroShepherd/RankinLabTools: General data cleaning tools for the Rankin lab

Calculate Global CDR® plus NACC FTLD Rating

Description

calculate_cdr_plus_nacc_ftld() calculates the global CDR® plus NACC FTLD score as described by Miyagawa et al. (2020). The default arguments expect CDR variable names as defined by the NACC, but custom variable names can be assigned to each of these arguments.

See Form B4: CDR® Dementia Staging Instrument and pages 91-92 of the UDS3 Coding Guidebook

Usage

calculate_cdr_plus_nacc_ftld(
  .data,
  MEMORY = MEMORY,
  ORIENT = ORIENT,
  JUDGMENT = JUDGMENT,
  COMMUN = COMMUN,
  HOMEHOBB = HOMEHOBB,
  PERSCARE = PERSCARE,
  COMPORT = COMPORT,
  CDRLANG = CDRLANG
)

Arguments

.data	dataframe object
MEMORY	CDR memory score
ORIENT	CDR orientation score
JUDGMENT	CDR judgement score
COMMUN	CDR community? score
HOMEHOBB	CDR home acitivites and hobbies score
PERSCARE	CDR personal care score
COMPORT	CDR behavior score
CDRLANG	CDR language score

Value

An object of the same type as .data. The output has the following properties:

• Rows are not affected.

• Data frame attributes are preserved.

• Groups are maintained; you can't select off grouping variables.

• The returned data frame includes a new variable labeled cdr_plus_nacc_ftld.

Examples

nacc_cdr_data_simulated %>%
   select(-NACCID,-VISITDATE) %>% # limit columns in final output for readability purposes
   calculate_cdr_plus_nacc_ftld()

## # A tibble: 100 × 9
##    MEMORY ORIENT JUDGMENT COMMUN HOMEHOBB PERSCARE COMPORT CDRLANG cdr_plus_nacc_ftld
##     <dbl>  <dbl>    <dbl>  <dbl>    <dbl>    <dbl>   <dbl>   <dbl>              <dbl>
##  1      2    0.5      0.5    0        2        3       1       0.5                  2
##  2      0    0.5      0      0        0.5      0       3       0.5                  2
##  3      0    1        2      2        0        0.5     0       0.5                  2
##  4      1    0.5      1      0.5      0        1       0       2                    1
##  5      1    0.5      0      0        0        0       0       1                    1
##  6      0    0        0      0        0        0       0       0                    0
##  7      1    2        0      0.5      0        0       0.5     0                    1
##  8      1    1        0.5    0        0        0.5     2       0                    1
##  9      2    0.5      1      0        3        0.5     0.5     0.5                  2
## 10      1    1        0      0.5      0        1       0       0                    1
## # … with 90 more rows

NeuroShepherd/RankinLabTools documentation built on Sept. 23, 2022, 5:31 p.m.