test_that("Transform Feature String", {
feature <- "Leukocyte Fraction"
expect_equal(transform_feature_string(feature, "None"), feature)
expect_equal(
transform_feature_string(feature, "Log2"),
"Log2( Leukocyte Fraction )"
)
expect_equal(
transform_feature_string(feature, "Log2 + 1"),
"Log2( Leukocyte Fraction + 1 )"
)
expect_equal(
transform_feature_string(feature, "Log10"),
"Log10( Leukocyte Fraction )"
)
expect_equal(
transform_feature_string(feature, "Log10 + 1"),
"Log10( Leukocyte Fraction + 1 )"
)
expect_equal(
transform_feature_string(feature, "Squared"),
"Leukocyte Fraction**2"
)
expect_equal(
transform_feature_string(feature, "Reciprocal"),
"1/Leukocyte Fraction"
)
})
test_that("Transform Feature Formula", {
feature <- "Leukocyte Fraction"
expect_equal(transform_feature_formula(feature, "None"), feature)
expect_equal(
transform_feature_formula(feature, "Log10"),
"I(log10(Leukocyte Fraction))"
)
expect_equal(
transform_feature_formula(feature, "Squared"),
"I(Leukocyte Fraction**2)"
)
expect_equal(
transform_feature_formula(feature, "Reciprocal"),
"I(1/Leukocyte Fraction)"
)
})
test_that("Create Plotly Text", {
tbl <- dplyr::tribble(
~name, ~name2, ~group, ~v1, ~v2,
"name1", "name5", "g1", 1, 1.1,
"name2", "name6", "g1", 2, 2.2,
"name3", "name7", "g2", 3, 3.3,
"name4", "name8", "g2", 4, 4.4,
)
result1 <- create_plotly_text(
tbl, name, group, c("v1", "v2"), title = "title"
)
result2 <- create_plotly_text(
tbl, name2, group, c("v1", "v2"), title = "title"
)
expect_named(result1, c("name", "name2", "group", "text", "v1", "v2"))
expect_named(result2, c("name", "name2", "group", "text", "v1", "v2"))
expect_equal(
result1$text[[1]],
"<b>title:</b> name1 (g1)</br></br>V1: 1.000</br>V2: 1.100"
)
expect_equal(
result1$text[[3]],
"<b>title:</b> name3 (g2)</br></br>V1: 3.000</br>V2: 3.300"
)
expect_equal(
result2$text[[1]],
"<b>title:</b> name5 (g1)</br></br>V1: 1.000</br>V2: 1.100"
)
expect_equal(
result2$text[[3]],
"<b>title:</b> name7 (g2)</br></br>V1: 3.000</br>V2: 3.300"
)
})
test_that("Add Plotly Value text", {
tbl1 <- dplyr::tribble(
~text, ~V1, ~V2, ~V3,
"l1", 1, 2, 3,
"l2", 4, 5, 6,
"l3", 7, 8, 9,
"l4", 10, 11, 12
)
result1 <- add_plotly_value_text(tbl1, "V1")
result2 <- add_plotly_value_text(tbl1, c("V1", "V2"))
result3 <- add_plotly_value_text(tbl1, c("V1", "V2", "V3"))
expect_equal(
result1$value_text,
c("V1: 1.000", "V1: 4.000", "V1: 7.000", "V1: 10.000")
)
expect_equal(
result2$value_text,
c("V1: 1.000</br>V2: 2.000", "V1: 4.000</br>V2: 5.000",
"V1: 7.000</br>V2: 8.000", "V1: 10.000</br>V2: 11.000"
)
)
expect_equal(
result3$value_text,
c("V1: 1.000</br>V2: 2.000</br>V3: 3.000",
"V1: 4.000</br>V2: 5.000</br>V3: 6.000",
"V1: 7.000</br>V2: 8.000</br>V3: 9.000",
"V1: 10.000</br>V2: 11.000</br>V3: 12.000"
)
)
})
test_that("Get Values from Eventdata Dataframe", {
df <- data.frame(x = c(rep("C1", 3)), y = 1:3, stringsAsFactors = F)
expect_equal(get_values_from_eventdata(df), "C1")
})
test_that("Create Nested Named List", {
tbl <- dplyr::tibble(
"feature_class" = c(rep("Class1", 3), "Class2"),
"feature_display" = c("feature1", "feature2", "feature3", "feature4"),
"feature_name" = 1:4
)
result1 <- create_nested_named_list(tbl)
expect_named(result1, c("Class1", "Class2"))
expect_length(result1, 2)
expect_named(result1$Class1, c("feature1", "feature2", "feature3"))
expect_length(result1$Class1, 3)
expect_named(result1$Class2, "feature4")
expect_length(result1$Class2, 1)
})
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