Added example snippets of the presentation.
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FROM r-base:4.1.2
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# Install several CRAN packages using package manager.
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RUN apt update \
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&& apt install --assume-yes \
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r-cran-dplyr=1.0.7-2 \
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r-bioc-deseq2=1.34.0+dfsg-1 \
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r-cran-biocmanager=1.30.16+dfsg-3 \
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r-cran-devtools=2.4.3-1
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# Example how to install specific package using R.
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RUN R -e "BiocManager::install('apeglm', dependencies=TRUE, version='3.14')"
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# Make a directory in the Docker image and copy scripts to it.
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WORKDIR /analysis/
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COPY ./example/ /analysis/
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# Run unit tests.
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CMD R --quiet -e 'testthat::test_dir("test")'
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example/example.R
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example/example.R
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# Example function to be tested.
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linear_transformation <- function(x) {
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return (2*x + 1)
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}
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example/test/test_linear_transformation.R
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example/test/test_linear_transformation.R
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source("../example.R", chdir=TRUE)
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library(testthat)
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test_that("Real numbers are transformed to odd numbers.", {
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expect_equal(linear_transformation(3) %% 2, 1)
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expect_equal(linear_transformation(4) %% 2, 1)
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})
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test_that("Positive numbers remain positive.", {
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expect_true(linear_transformation(3) > 0)
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expect_true(linear_transformation(10) > 0)
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})
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readme.md
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readme.md
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# Snippets of the `Reproducible and error free scripts` presentation
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Use the `Dockerfile` to build the image, which we name `r_example`:
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```Bash
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docker build -t r_example .
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```
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As specified in the image's Dockerfile (`CMD` line), by default it will run the unit tests:
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```Bash
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docker run r_example
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```
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