0.0.11

featuretable 0.0.11

Code

• Fix is_expression bug. (See #4)

Other

• Add biplotr to Remotes section (will help with installation)
• Set up CI for tests
• Drop the v from version numbers going forward.

v0.0.10

Install

If you don't have R6 and rlang packages installed, you will need to install them first.

install.packages(c('R6', 'rlang'))

Then download the source package from this release page. Finally, install the source package like so:

install.packages("/path/to/featuretable_0.0.10.tar.gz", repos = NULL)

(Click the assets button below this to find it.)

I have successfully built the R source package with R v3.6.3, v4.0.2, and 4.1.0. If it doesn't work in other R versions, let me know!

Read vignettes

After installing the package, run browseVignettes("featuretable").

Changes

• Remove reduce functions. They were more or less redundant with the apply functions.
• Update a lot of documentation!

v0.0.9

Install

Download the source package and install like so:

install.packages("/path/to/featuretable_0.0.9.tar.gz", repos = NULL)

(Click the assets button below this to find it.)

I built the R source package with R v3.6.3. If it doesn't work in R v4 and above, let me know!

Read vignettes

After installing the package, run browseVignettes("featuretable").

Changes

• Fix the S3 function exporting
• Update data and add Lee citation
• Add some microbiome overview, plotting, and R6/S3 function vignettes
• Add ggrepel to suggests
• Fix some of the plot unit tests so that it takes in package data rather than depend on DivNet

v0.0.8

Install

Download the source package and install like so:

install.packages("/path/to/featuretable_0.0.8.tar.gz", repos = NULL)

(Click the assets button below this to find it.)

Read vignettes

After installing the package, run browseVignettes("featuretable").

Changes

• Update everything so it works with both R versions 3 and 4.
• This works by basically treating all strings as factors within FeatureTable code and test suite.

v0.0.7

Install

Download the source package and install like so:

install.packages("/path/to/featuretable_0.0.7.tgz", repos = NULL)

(Click the assets button below this to find it.)

Read vignettes

After installing the package, run browseVignettes("featuretable").

Changes

• Add property and integration tests
• Add relative_abundance helper
• Add vignette about summarizing FeatureTables with plots
• Handle lots of edge cases involving factors and NAs in the collapse functions
• Add keep_hierarchy parameter to the collapse functions

v0.0.6

Install

Download the binary and install like so:

install.packages("/path/to/featuretable_0.0.6.tgz", repos = NULL)

Changes

• Fix some bugs in the plot function
• Add other_feature_name parameter to plot function

v0.0.5

Install

Download the binary and install like so:

install.packages("/path/to/featuretable_0.0.5.tgz", repos = NULL)

Changes

• Add some docs and tests
• Fix some bugs, imports, and suggests
• Drop variable prefix in collapse function
• Add wide_to_long helper function
• Add R6 and s3 plotting functions

v0.0.4

Install

Download the binary and install like so:

install.packages("/path/to/featuretable_0.0.4.tgz", repos = NULL)

Changes

• Add collapse_samples.
• Add help docs for collapse functions.

v0.0.3

Install

Download the binary and install like so:

install.packages("/path/to/featuretable_0.0.3.tgz", repos = NULL)

Changes

• Add lots of docs and examples!
• Add another data set to use in examples (available with: data(ft)).

v0.0.2

Install

Download the binary and install like so:

install.packages("/path/to/featuretable_0.0.2.tgz", repos = NULL)

Changes

• Add some fancy stuff to the keep functions: query and restrict. These
  are used to mix data and metadata queries into a single predicate, and to
  restrict data queries to subsets of samples. Currently, they are only
  available in when keeping features.
• Add methods to collapse features based on metadata.
• Add various data utilities and helpers.