matsindfCite all releases with doi 10.5281/zenodo.5475443, which always resolves to the latest release.
NULL in all named arguments to matsindf_apply() caused an error.collapse_to_matrices() by a factor of 3.
matsindf_apply() where a a data frame column with some named elements and some unnamed elements led to the unnamed elements yielding 0 or NULL results after FUN was applied. The fix was to unname() everything before calling purrr::transpose().df_to_msg() to make error reports easier to read.
matrix.class argument. It will be removed soon.matrix.class argument to matrix_class.
1 strings in the ... argument of matsindf_apply() now extends to default arguments of FUN.matsindf_apply() enables better error and warning messages in many places.matsindf_apply(). It was a complete mess! Hopefully, it is now easier to debug and maintain.
matsindf_apply() now correctly returns a list when lists are provided in the ... argument. Previously, it incorrectly returned a data frame.matsindf_apply() now correctly disallows any unused arguments supplied in its ... argument. Previously, some unused argument situations were not flagged as errors, despite documentation saying they would be.matsindf_apply() now gives warning messages when an argument to FUN cannot be found in any of ..., .dat, or defaults to FUN. This condition may be OK, and the caller can suppress the warning by passing .warn_missing_FUN_args = FALSE to matsindf_apply().matsindf_apply() now gives more descriptive error messages.matsindf_apply() now allows more options for incoming data.matsindf_apply() now tries really hard to deal with empty inputs, falling back to returning the original input unmodified (except possibly wrapped in a list()) when the input has zero rows (in the case of a data frame) or zero length (in the case of lists).matsindf_apply().
matrix and Matrix objects, thereby enabling use of sparse matrices. Use matsbyname::Matrix() to create sparse matrices as appropriate.mat_to_rowcolval() now accepts Matrix objects in the .matrix argument.rowcolval_to_mat() gains a matrix.class argument that specifies whether a matrix or a Matrix should be created.Matrix objects.
verify_cols_missing() from the Recca package to matsindf. Those tests didn’t belong in Recca.expand_to_tidy().matrix_cols() tells which columns contain matrices, either in the any() sense or in the all() sense.matsindf_apply() primer vignette discusses how to handle heterogeneous arguments types to FUN.matsindf_apply() when using string arguments to FUN.
matsindf_apply() where the list returned from Map() had names on each individual item. The names on individual items caused problemsmatsbyname function with both a named and an unnamed list, because those functions expect the same name structure. The solution was to remove the names from each individual item after calling Map() and before calling purrr::transpose().
matsindf for principal components analysis (PCA).testthat v3.RCLabels package out of matsbyname.rowtypes and coltypes arguments now have special defaults to enable calling collapse_to_matrices() without specifying those arguments.collapse_to_matrices() to check whether NULL values for rowtype and coltype arguments are handled correctly.
df_to_msg() can assist with error messages. df_to_msg() was moved from the SEAPSUTWorkflow package, because it is generally useful.
matsindf.Rmd vignette now uses the keep argument on matsbyname::hatize_byname().matsindf.Rmd vignette. Needed to supply the keep argument on hatize_byname().matsindf_apply().matsindf_apply() for functions similar in form to those in Recca.context() calls at top of test files.NULL .DF in matsindf_apply().dplyr, all calls to dplyr::group_by() now use .add argument instead of add argument.dplyr 1.0.0. Several tests in matsindf assumed that some dplyr functions returned data.frames. Now that many dplyr functions return tibbles, the matsindf tests needed to be rewritten. All tests pass vs. dplyr 0.8.5. One warning remains when testing matsindf with dplyr 1.0.0, namely that the add argument of group_buy() is deprecated. When dplyr 1.0.0 is released to CRAN, I will convert add to .add, per the dplyr authors’ recommendation.data.frame() has stringsAsFactors = TRUE by default. In R4.0.0, stringsAsFactors = FALSE will be the default. In one test (“small example works as expected”), I was relying on the current behavior (stringsAsFactors = TRUE). That reliance has been removed so that this test will also pass under R4.0.0.matrix objects now inherit from both matrix and array. Thus, code should no longer assume that class(A) returns an object of length 1 when A is a matrix. So, I eliminated all instances of class(A) == "matrix" in if statements in favor of inherits(A, "matrix"). See https://developer.r-project.org/Blog/public/2019/11/09/when-you-think-class.-think-again/index.html for more details.group_by_everything_except() to use a new helper function everything_except()group_by_everything_except()\dontrun{} –> \donttest{} in Roxygen examplesmatsindf functions.:= and .data at a high level.magrittr pipe at a high level.pkgdown documentation.rowtypes and coltypes arguments to expand_to_tidy and collapse_to_matrices functions are no longer NULL. Rather, they are “rowtypes” and “coltypes”.matsindf_apply primer to include sections on using matsindf_apply with a data frame and programming.index_column that ratios both numbers and matrices relative to an initial time.expand_to_tidy now accepts a named list of matrices as input.matsindf_apply now obtains named arguments from .DF when a name in .DF matches a name of an argument to FUN. This behavior is overridden by supplying a string argument in ... of matsindf_apply.matsindf_apply now accepts a list as input when arguments are all strings.matsindf_apply function.matsindf_apply.matsbyname package.