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Reduce the number of variables to prepare for clustering

Source: R/scale_reduce_vars.R
scale_reduce_vars.Rd

Reduce the number of variables to prepare for clustering

Usage

scale_reduce_vars(df, min = 0, max = 1)

Arguments

df

A data frame containing the variables to be reduced. It should contain the following columns:

  • vviq: VVIQ scores

  • osivq_o: OSIVQ Object scores

  • osivq_s: OSIVQ Spatial scores

  • osivq_v: OSIVQ Verbal scores

  • psiq_vis: Psi-Q Visual scores

  • psiq_aud: Psi-Q Auditory scores

  • psiq_od: Psi-Q Olfactory scores

  • psiq_gout: Psi-Q Gustatory scores

  • psiq_tou: Psi-Q Tactile scores

  • psiq_sens: Psi-Q Sensory scores

  • psiq_feel: Psi-Q Feelings scores

  • score_raven: Raven Matrices scores

  • score_sri: SRI scores

  • span_spatial: Spatial Span scores

  • span_digit: Digit Span scores

  • wcst_accuracy: WCST accuracy scores

  • score_similarities: Similarities scores

  • score_comprehension: Comprehension scores

min

Numeric. The minimum value of the scaled range. Default is 0.

max

Numeric. The maximum value of the scaled range. Default is 1.

Value

A data frame with reduced variables, including:

  • visual_imagery: Merged VVIQ, OSIVQ Object, and Psi-Q Visual scores

  • auditory_imagery: Psi-Q Auditory scores

  • sensory_imagery: Merged Psi-Q scores on other modalities

  • spatial_imagery: Merged SRI and OSIVQ Spatial scores

  • verbal_strategies: OSIVQ Verbal scores

  • fluid_intelligence: Merged Raven and Digit Span scores

  • verbal_reasoning: Similarities scores

  • span_spatial: Spatial Span scores

Examples

df_reduced <- scale_reduce_vars(study_data)
head(df_reduced)
#> # A tibble: 6 × 8
#>   visual_imagery auditory_imagery sensory_imagery spatial_imagery
#>            <dbl>            <dbl>           <dbl>           <dbl>
#> 1          0.65             0.741           0.785           0.767
#> 2          0.617            0.889           0.771           0.745
#> 3          0.471            0.703           0.637           0.661
#> 4          0.713            0.814           0.778           0.444
#> 5          0.125            0               0               0.439
#> 6          0.703            0.778           0.578           0.761
#> # ℹ 4 more variables: verbal_strategies <dbl>, fluid_intelligence <dbl>,
#> #   verbal_reasoning <dbl>, span_spatial <dbl>
colnames(df_reduced)
#> [1] "visual_imagery"     "auditory_imagery"   "sensory_imagery"   
#> [4] "spatial_imagery"    "verbal_strategies"  "fluid_intelligence"
#> [7] "verbal_reasoning"   "span_spatial"