tests/testthat/helper-create_test_data.R

library(testthat)
library(diffdf)
library(purrr)
library(tibble)

suppressWarnings(RNGversion("3.5.0"))
set.seed(20202)

LENGTH <- 20 

TDAT <- dplyr::data_frame( 
    ID          = 1:LENGTH,
    GROUP1      = rep( c(1,2) , each = LENGTH/2),
    GROUP2      = rep( c(1:(LENGTH/2)), 2 ),
    INTEGER     = rpois(LENGTH , 40),
    BINARY      = sample( c("M" , "F") , LENGTH , replace = T),
    DATE        = lubridate::ymd("2000-01-01") + rnorm(LENGTH, 0, 7000),
    DATETIME    = lubridate::ymd_hms("2000-01-01 00:00:00") + rnorm(LENGTH, 0, 200000000), 
    CONTINUOUS  = rnorm(LENGTH , 30 , 12),
    CATEGORICAL = factor(sample( c("A" , "B" , "C") , LENGTH , replace = T)),
    LOGICAL     = sample( c(TRUE , FALSE) , LENGTH , replace = T),
    CHARACTER   = stringi::stri_rand_strings(LENGTH,  rpois(LENGTH , 13),  pattern = "[ A-Za-z0-9]")
)


VALS <- list(
    int      = 1:5 , 
    int_na   = c( 1:5 , NA) ,
    num      = c(1,2,3,4,5),
    num_na   = c(1,2,3,4,NA), 
    flt      = c(0, 0.1, 0.2 , 0.3, 0.4) ,
    flt2     = c(0, 0.1, 0.2 , 0.3, 0.4) - 0.000000000001,
    flt3    = c(0 + 1e-12, 0.1, 0.2 , 0.3, 0.4),
    flt_calc = c(0.08, 0.18, 0.28 , 0.38, 0.48) - 0.08,
    chr      = c('antelope', 'bear', 'cake', 'gpro/', "^admw"),
    chr_na   = c('antelope', 'bear', 'cake', NA , "@awd"),
    chr_one  = 'duck',
    fct      = factor(c('apple', 'ball','2' , T , "pears")),
    fct_na   = factor(c('apple', 'ball',NA, T , "pears")),
    lgl      = c(TRUE,FALSE,TRUE, T , F),
    lgl_na   = c(TRUE, FALSE, NA, T , F),
    null     = NULL,
    na       = NA  
)



### Setup test data
TDAT2 <- TDAT

## Unequal values
TDAT2$CONTINUOUS[c(1,5,7)] <- c( 1,2,3)

## Different attributes
attr(TDAT2$BINARY , "something") <- iris

## Different levels
levels(TDAT2$CATEGORICAL) <- c("A", "B" , "D")

## Different class
class( TDAT2$DATE) <-  c("A_DATE" , "b_date" , "cDate")

## Different mode
TDAT2$INTEGER[c(1,5,7)] <- c("1" , "2" , "3")

## Large number of differences
TDAT2$GROUP2 <- rpois(20, 50)

## Different labels
attr(TDAT2$DATETIME , "label") <- "This is the label for my amazing variable"




### Create large list of comparisons
list_of_comparisons <- list(
    "Identical" = list(
        TDAT[ ,"ID", drop=FALSE], 
        TDAT2[ , "ID" , drop=FALSE]
    ), 
    
    "Identical 2" = list(  
        TDAT2[,"ID", drop=FALSE], 
        TDAT[, "ID" , drop =FALSE]
    ),
    
    
    
    "Different Values" = list(
        TDAT[, c("ID","CONTINUOUS")], 
        TDAT2[ ,c("ID","CONTINUOUS")]
    ), 
    
    "Different Values 2" = list(
        TDAT2[c("ID","CONTINUOUS")], 
        TDAT[c("ID","CONTINUOUS")]
    ),
    
    
    "Different attributes" = list(
        TDAT[,c("ID" , "BINARY")], 
        TDAT2[,c("ID" , "BINARY")]
    ),
    
    "Different attributes 2" = list(
        TDAT2[, c("ID" , "BINARY")], 
        TDAT[,c("ID" , "BINARY")]
    ),
    
    
    
    "Different Levels" = list(
        TDAT[,c("ID" , "CATEGORICAL")], 
        TDAT2[,c("ID" , "CATEGORICAL")]
    ),
    "Different Levels 2" = list(
        TDAT2[,c("ID" , "CATEGORICAL")], 
        TDAT[,c("ID" , "CATEGORICAL")]
    ),
    
    
    "Different Class" = list(
        TDAT[,c( "ID" , "DATE")], 
        TDAT2[,c( "ID" , "DATE")]
    ),
    "Different Class 2" = list(
        TDAT2[,c("ID" , "DATE")], 
        TDAT[,c("ID" , "DATE")]
    ),
    
    
    
    "Different Modes" = list(
        TDAT[,c( "ID" , "INTEGER")], 
        TDAT2[,c("ID" , "INTEGER")]
    ),
    "Different Modes 2" = list(
        TDAT2[,c( "ID" , "INTEGER")], 
        TDAT[,c("ID" , "INTEGER")]
    ),
    
    
    "Missing Columns" = list(
        TDAT[,c("ID" , "INTEGER", "BINARY")], 
        TDAT2[,c( "ID" , "INTEGER")]
    ),
    
    "Missing Columns 2" = list(
        TDAT2[,c( "ID" , "INTEGER", "BINARY")], 
        TDAT[,c("ID" , "INTEGER")]
    ),
    
    
    "Missing Rows" = list(
        TDAT[,c( "ID" , "GROUP1")]  , 
        TDAT2[ 1:nrow(TDAT2)<=10, c("ID" , "GROUP1")]
    ),
    "Missing Rows 2"  = list( 
        TDAT2[,c( "ID" , "GROUP1")]  , 
        TDAT[1:nrow(TDAT2) <= 10, c("ID" , "GROUP1")]
    ),
    
    
    "everything" = list(
        TDAT,
        TDAT2
    ),
    
    "everything 2"  = list(
        TDAT2,
        TDAT
    ),
    
    "Missing Vs NA"  = list(
        {
            M_TDAT <- TDAT 
            M_TDAT$CHARACTER[1] <- NA
            M_TDAT
        },
        {
            M_TDAT2 <- TDAT 
            M_TDAT2$CHARACTER[1] <- ""
            M_TDAT2
        }
    )
)

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diffdf documentation built on May 2, 2019, 5:42 a.m.