mirror of https://github.com/msberends/AMR.git
115 lines
4.0 KiB
R
Executable File
115 lines
4.0 KiB
R
Executable File
context("freq.R")
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test_that("frequency table works", {
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library(dplyr)
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expect_equal(nrow(freq(c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5))), 5)
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expect_equal(nrow(frequency_tbl(c(1, 1, 2, 2, 3, 3, 4, 4, 5, 5))), 5)
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# date column of septic_patients should contain 1151 unique dates
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expect_equal(nrow(freq(septic_patients$date)), 1151)
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expect_equal(nrow(freq(septic_patients$date)),
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length(unique(septic_patients$date)))
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expect_output(print(septic_patients %>% freq(age, nmax = Inf)))
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expect_output(print(freq(septic_patients$age, nmax = Inf)))
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expect_output(print(freq(septic_patients$age, nmax = NA)))
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expect_output(print(freq(septic_patients$age, nmax = NULL)))
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expect_output(print(freq(septic_patients$age, sort.count = FALSE)))
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expect_output(print(freq(septic_patients$age, markdown = TRUE)))
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expect_output(print(freq(septic_patients$age, markdown = TRUE), markdown = FALSE))
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expect_output(print(freq(septic_patients$age, markdown = TRUE), markdown = TRUE))
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expect_output(print(freq(septic_patients$age[0])))
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# character
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expect_output(print(freq(septic_patients$mo)))
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# integer
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expect_output(print(freq(septic_patients$age)))
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# date
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expect_output(print(freq(septic_patients$date)))
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# factor
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expect_output(print(freq(septic_patients$hospital_id)))
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# table
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expect_output(print(freq(table(septic_patients$sex, septic_patients$age))))
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# rsi
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expect_output(print(freq(septic_patients$amcl)))
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# hms
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expect_output(suppressWarnings(print(freq(hms::as.hms(sample(c(0:86399), 50))))))
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# matrix
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expect_output(print(freq(as.matrix(septic_patients$age))))
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expect_output(print(freq(as.matrix(septic_patients[, c("age", "sex")]))))
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# list
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expect_output(print(freq(list(age = septic_patients$age))))
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expect_output(print(freq(list(age = septic_patients$age, sex = septic_patients$sex))))
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library(dplyr)
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expect_output(septic_patients %>% select(1:2) %>% freq() %>% print())
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expect_output(septic_patients %>% select(1:3) %>% freq() %>% print())
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expect_output(septic_patients %>% select(1:4) %>% freq() %>% print())
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expect_output(septic_patients %>% select(1:5) %>% freq() %>% print())
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expect_output(septic_patients %>% select(1:6) %>% freq() %>% print())
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expect_output(septic_patients %>% select(1:7) %>% freq() %>% print())
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expect_output(septic_patients %>% select(1:8) %>% freq() %>% print())
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expect_output(septic_patients %>% select(1:9) %>% freq() %>% print())
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expect_output(print(freq(septic_patients$age), nmax = 20))
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# top 5
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expect_equal(
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septic_patients %>%
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freq(mo) %>%
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top_freq(5) %>%
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length(),
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5)
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# there're more than 5 lowest values
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expect_gt(
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septic_patients %>%
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freq(mo) %>%
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top_freq(-5) %>%
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length(),
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5)
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# n has length > 1
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expect_error(
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septic_patients %>%
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freq(mo) %>%
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top_freq(n = c(1, 2))
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)
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# input must be freq tbl
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expect_error(septic_patients %>% top_freq(1))
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# charts from plot and hist, should not raise errors
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plot(freq(septic_patients, age))
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hist(freq(septic_patients, age))
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# check vector
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expect_identical(septic_patients %>%
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freq(age) %>%
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as.vector() %>%
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sort(),
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septic_patients %>%
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pull(age) %>%
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sort())
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# check format
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expect_identical(septic_patients %>%
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freq(age) %>%
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format() %>%
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apply(2, class) %>%
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unname(),
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rep("character", 5))
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# check tibble
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expect_identical(septic_patients %>%
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freq(age) %>%
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as_tibble() %>%
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class() %>%
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.[1],
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"tbl_df")
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expect_error(septic_patients %>% freq(nonexisting))
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expect_error(septic_patients %>% select(1:10) %>% freq())
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expect_error(septic_patients %>% freq(peni, oxac, clox, amox, amcl,
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ampi, pita, czol, cfep, cfur))
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})
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