jhpoelen/reston: a biodiversity dataset tracker

GITHUB
jhpoelen/reston: a biodiversity dataset tracker

Package: reston
Type: Package
Title: a biodiversity dataset tracker

tests/testthat/test-test-nesting.R:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

<- paste(readLines(tmp), collapse = "\n")
expect_tags_match(txt, these_tags, n = 5)
KRESET()

tests/testthat/test-uses-external-file.R:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

KRESET()
test_that("engines work with relative dirs", {
tcf <- provision_jekyll("uses-external-file.Rmd

tests/testthat/template.R:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

")
expect_tags_match(txt, these_tags, n = lang_chunks + 1)
# ADD EXPECTATIONS

tests/testthat/test-example-solution:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

, "\n8", fixed = TRUE)
KRESET()
test_that("engines work with relative dirs", {

tests/testthat/test-uses-include.R:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

itself should not exist
expect_failure(expect_match(txt, "Will this be included?", fixed = TRUE))
KRESET()

tests/testthat/test-uses-image.R:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

;")
KRESET()
test_that("engines work with relative dirs", {

README.md:

GITHUB
jhpoelen/reston: a biodiversity dataset tracker

(work in progress) R package for using Preston observatories
![R-CMD-check](https://github.com/jhpoelen/reston

tests/testthat/test-options-echo:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

.(?!")', perl = TRUE)
KRESET()
test_that("engines work with relative dirs", {

tests/testthat/test-coefMany.R:

CRAN
EstimationTools: Maximum Likelihood Estimation for Probability Functions from Data Sets

* x, sd = exp(1 + 0.3* x))
norm_data <- data.frame(y = y, x = x)
formulas <- list(sd.fo = ~ x, mean.fo = ~ x

tests/testthat/test-coef.R:

CRAN
EstimationTools: Maximum Likelihood Estimation for Probability Functions from Data Sets

, sd = exp(2 + 0.3* x))
norm_data <- data.frame(y = y, x = x)
formulas <- list(sd.fo = ~ x, mean.fo = ~ x

regmod_regression: regmod_regression

CRAN
biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data

., Perelman, D., Breschi, A., Limcaoco, P., Kellogg, R.,
# McLaughlin, T., Snyder, M., Glucotypes reveal new patterns

regmod_regression: regmod_regression

GITHUB
glucodensities/biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data

., Perelman, D., Breschi, A., Limcaoco, P., Kellogg, R.,
# McLaughlin, T., Snyder, M., Glucotypes reveal new patterns

x2y_df2list: convert x-y associations

GITHUB
PengNi/dSimer: Integration of Disease Similarity Methods

DOID:8649 EGFR
DOID:8649 PTGS2
DOID:8649 VHL

clustering: clustering

CRAN
biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data

A kgroups object (see energy library).
Examples
# Data extracted from the paper: Hall, H., Perelman, D., Breschi

clustering: clustering

GITHUB
glucodensities/biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data

A kgroups object (see energy library).
Examples
# Data extracted from the paper: Hall, H., Perelman, D., Breschi

x2y_df2list: convert x-y associations

BIOC
dSimer: Integration of Disease Similarity Methods

DOID:8649 EGFR
DOID:8649 PTGS2
DOID:8649 VHL

regmod_prediction: regmod_prediction

GITHUB
glucodensities/biosensors.usc: Distributional Data Analysis Techniques for Biosensor Data

., Perelman, D., Breschi, A., Limcaoco, P., Kellogg, R.,
# McLaughlin, T., Snyder, M., Glucotypes reveal new patterns

critK10: Single Grubbs-Beck Critical Values for 10-percent Test

GITHUB
wasquith-usgs/MGBT: Multiple Grubbs-Beck Low-Outlier Test

communication of original R source code: U.S. Geological Survey, Reston, Va.
Interagency Advisory Committee on Water Data (IACWD

tests/testthat/test-chunk-types.R:

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carpentries/dovetail: Document Engine to Insert Nested Block Quotes

, OUR_TAGS[OUR_TAGS != "end"])
# Reset knitr environment
KRESET()