Updated tests to work for good.

tests/testthat/test-assign_arg_list.R

@@ -0,0 +1,11 @@
+test_that("First argument must be a list",{
+  expect_error(assign_arg_list(c(1,2,3)))
+})
+test_that("All arguments should be named",{
+  expect_error(assign_arg_list(list(1,2)))
+})
+test_that("assign_arg_list works as intended",{
+  assign_arg_list(list(a="dog",b=2))
+  expect_identical(a,"dog")
+  expect_identical(b,2)
+})

tests/testthat/test-df_mat_mul.R

@@ -0,0 +1,41 @@
+df <- data.frame(matrix(1:100, ncol = 5))
+mat <- matrix(1:4, ncol = 2)
+
+test_that("First input must be a data frame and second input must be a matrix",
+          {
+  expect_error(df_mat_mul(30,mat))
+  expect_error(df_mat_mul(df,20))
+})
+
+test_that("Argument name is a character" ,{
+            expect_error(df_mat_mul(df, mat, 100))
+})
+
+test_that("The length of names does not differ from the length of the number
+          of outputs" ,{
+  expect_error(df_mat_mul(df, mat, c("a","b","c"), 2:3))
+})
+
+test_that("The number of columns of the first data frame cannot differ from the
+          number of rows of the second matrix, hence preventing incompatible
+          matrix multiplication", {
+            expect_error(df_mat_mul(df, mat, "z", 1:3))
+          })
+
+X <- df[c(1,4,5)]
+Z <- as.data.frame(as.matrix(df[2:3]) %*% mat)
+colnames(Z) <- c("z1","z2")
+output <- cbind(X,Z)
+
+test_that("Names are being handled properly", {
+  expect_identical(df_mat_mul(df, mat, "z", 2:3),output)
+  expect_identical(df_mat_mul(df, mat, c("z1","z2"), 2:3),output)
+})
+
+test_that("Other tidyselect functionalities are working", {
+  mult <- df_mat_mul(df, mat, "z", dplyr::num_range("X", 2:3))
+  expect_identical(mult,output)
+  expect_identical(df_mat_mul(df, mat, "z", 2, 3),output)
+  # Mismatched names should not work:
+  expect_error(df_mat_mul(df, mat, "z", dplyr::num_range("Y", 2:3)))
+})

tests/testthat/test-grab_names.R

@@ -0,0 +1,7 @@
+df <- data.frame(b=1,c=2,ca=3,cat=4)
+
+test_that("Names are grabbed properly", {
+  expect_identical(grab_names(df,dplyr::starts_with("ca")),
+                   subset(names(df),startsWith(names(df), "ca"))
+                   )
+})