tests/testthat/test-explore_summary.R
In UBC-MDS/xplrrr: This package makes exploratory data analysis (EDA) simple and seamless. EDA is a crucial phase in the data science workflow as it allows us get a fist glimpse of the data. It is important to identify statistical characteristics of the data so that we can properly set up the rest of the analysis
test_that("multiplication works", {
expect_equal(2 * 2, 4)
})
test_that("Output is well-formed",{
data <- data.frame("SN" = 1:5, "Name" = c("John", "Dora", "Bob", "Alice", "Lucy"),
"ID"=c("281","125","200","316","293"),"Age" = c(NaN,15,20,36,23))
expect_equal(nrow(explore_summary(data)), 2)
expect_equal(ncol(explore_summary(data)), 7)
})
UBC-MDS/xplrrr documentation built on April 2, 2020, 4 a.m.
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test_that("multiplication works", {
expect_equal(2 * 2, 4)
})
test_that("Output is well-formed",{
data <- data.frame("SN" = 1:5, "Name" = c("John", "Dora", "Bob", "Alice", "Lucy"),
"ID"=c("281","125","200","316","293"),"Age" = c(NaN,15,20,36,23))
expect_equal(nrow(explore_summary(data)), 2)
expect_equal(ncol(explore_summary(data)), 7)
})
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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