context("Testing kmplot function")
# Generate test data frame
set.seed(46)
var <- .15
feature_one <- c(rnorm(5,-1, var),rnorm(5,0, var),rnorm(5,1, var))
feature_two <- c(rnorm(5,-1, var),rnorm(5,0, var),rnorm(5,1, var))
cluster<-c(rep(1,5), rep(2,5), rep(3,5))
data_good <- data.frame(x1 = feature_one,
x2 = feature_two,
cluster = cluster)
# Bad input - data frame with stings
data_bad_string<-data_good
data_bad_string[1,1]<-"susan"
data_bad_string[2,1]<-"GC"
data_bad_string[3,2] <-"sophia"
# Bad input - data frame with wrong dimentions
data_bad_2d<-data_good[, c(2,3)]
# Bad input - empty data frame
data_bad_empty <- data.frame()
test_that("Plot mapping match expectations", {
# load test data
p <- kmplot(data_good)
# expected outputs:
expect_equal(toString(p$mapping$x), 'x1')
expect_equal(toString(p$mapping$y), 'x2')
expect_equal(toString(p$layers[[1]]$mapping$colour), 'cluster')
})
test_that('Check data integrity', {
p <- kmplot(data_good)
# expected outputs:
# check if any data is dropped in the plot
expect_equal(length(p$data$cluster), nrow(data_good))
})
test_that('Error in input data', {
# expected error:
expect_error(kmplot(data_bad_string), 'Input data must be numeric')
expect_error(kmplot(data_bad_2d), 'Input data must have 3 columns')
expect_error(kmplot(data_bad_empty), 'Input data cannot be empty')
})
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