print.RESIDE

S3 override for print RESIDE

Usage

# S3 method for class 'RESIDE'
print(x, ...)

Arguments

x

an object of class RESIDE

...

Other parameters, full = TRUE prints every category of the categorical variables, Default: FALSE

Value

The RESIDE object, invisibly. Called to print to the terminal.

Details

S3 Override for RESIDE Class, prints the overall summary followed by the marginal distributions of each data frame. By default categorical variables with more than 10 categories only print the 10 most common categories, use full = TRUE to print every category.

Examples

print(
  marginal_distributions <- get_marginal_distributions(
    IST,
    variables = c(
      "SEX",
      "AGE",
      "ID14",
      "RSBP",
      "RATRIAL"
    )
  )
)
#> Summary of Marginal Distributions
#> Number of Subjects: 19435 
#> 
#> Number of Rows: 19435 
#> Number of Columns: 5 
#> Variables: SEX, AGE, RATRIAL, RSBP, ID14 
#> 
#> Summary of Categorical Variables
#> Variable: SEX 
#>   F : 9028 
#>   M : 10407 
#> Variable: RATRIAL 
#>   N : 15282 
#>   Y : 3169 
#>   missing : 984 
#> 
#> Summary of Binary Variables
#> Variable: ID14 
#>   Mean: 0.0916388 
#>   Missing: 0 
#> 
#> Summary of Continuous Variables
#> Variable: AGE 
#>   Date: FALSE 
#>   Missing: 0 
#>   Decimal Places: 0 
#>   Quantiles:
#>   Original Transformed
#> 1       16  -3.8836332
#> 2       29  -2.8894619
#> 3       64  -0.7447992
#> 4       71  -0.2060679
#> 5       79   0.5263253
#> 6       86   1.4063880
#> 7       95   2.8388310
#> 8       96   3.0207824
#> 9       99   4.0489244
#> Variable: RSBP 
#>   Date: FALSE 
#>   Missing: 0 
#>   Decimal Places: 0 
#>   Quantiles:
#>   Original Transformed
#> 1       70 -4.04892439
#> 2      122 -1.37368502
#> 3      128 -1.31679183
#> 4      152 -0.13824887
#> 5      159 -0.09474469
#> 6      161  0.22957714
#> 7      295  4.04892439
print(marginal_distributions, full = TRUE)
#> Summary of Marginal Distributions
#> Number of Subjects: 19435 
#> 
#> Number of Rows: 19435 
#> Number of Columns: 5 
#> Variables: SEX, AGE, RATRIAL, RSBP, ID14 
#> 
#> Summary of Categorical Variables
#> Variable: SEX 
#>   F : 9028 
#>   M : 10407 
#> Variable: RATRIAL 
#>   N : 15282 
#>   Y : 3169 
#>   missing : 984 
#> 
#> Summary of Binary Variables
#> Variable: ID14 
#>   Mean: 0.0916388 
#>   Missing: 0 
#> 
#> Summary of Continuous Variables
#> Variable: AGE 
#>   Date: FALSE 
#>   Missing: 0 
#>   Decimal Places: 0 
#>   Quantiles:
#>   Original Transformed
#> 1       16  -3.8836332
#> 2       29  -2.8894619
#> 3       64  -0.7447992
#> 4       71  -0.2060679
#> 5       79   0.5263253
#> 6       86   1.4063880
#> 7       95   2.8388310
#> 8       96   3.0207824
#> 9       99   4.0489244
#> Variable: RSBP 
#>   Date: FALSE 
#>   Missing: 0 
#>   Decimal Places: 0 
#>   Quantiles:
#>   Original Transformed
#> 1       70 -4.04892439
#> 2      122 -1.37368502
#> 3      128 -1.31679183
#> 4      152 -0.13824887
#> 5      159 -0.09474469
#> 6      161  0.22957714
#> 7      295  4.04892439