knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/" )
The cmstatr
package provides functions for performing statistical analysis
of composite material data. The statistical methods implemented are those
described in CMH-17-1G.
This package focuses on calculating basis values (lower tolerance
bounds) for material strength properties, as well as performing the
associated diagnostic tests. Functions are also provided for testing
for equivalency between alternate samples and the "qualification"
or "baseline" samples.
Additional details about the package are available in the paper by Kloppenborg (2020, https://doi.org/10.21105/joss.02265).
There is a companion package cmstatrExt
which provides statistical methods
that are not included in CMH-17, but which may be of use to practitioners.
For more information, please see the
cmstatrExt
Website.
To install cmstatr
from CRAN, simply run:
install.packages("cmstatr")
If you want the latest development version, you can install it
from github
using devtools
. This will also install the dependencies
required to build the vignettes. Optionally, change the value of the
argument ref
to install cmstatr
from a different branch of the
repository.
install.packages(c("devtools", "rmarkdown", "dplyr", "tidyr")) devtools::install_github("cmstatr/cmstatr", build_vignettes = TRUE, ref = "master", build_opts = c("--no-resave-data", "--no-manual"))
To compute a B-Basis value from an example data set packaged
with cmstatr
you can do the following:
library(dplyr) library(cmstatr) carbon.fabric.2 %>% filter(test == "FC") %>% filter(condition == "RTD") %>% basis_normal(strength, batch)
For more examples of usage of the cmstatr
package,
see the tutorial vignette, which can be
viewed online,
or can be loaded as follows, once the package is installed:
vignette("cmstatr_Tutorial")
There is also a vignette showing some examples of the types of graphs that are typically produced when analyzing composite materials. You can view this vignette online, or you can load this vignette with:
vignette("cmstatr_Graphing")
This package expects
tidy data
.
That is, individual observations should be in rows and variables in columns.
Where possible, this package uses general solutions. Look-up tables are avoided wherever possible.
If you've found a bug, please open an issue in this repository and describe the bug. Please include a reproducible example of the bug. If you're able to fix the bug, you can do so by submitting a pull request.
If your bug is related to a particular data set, sharing that data set will help to fix the bug. If you cannot share the data set, please strip any identifying information and optionally scale the data by an unspecified factor so that the bug can be reproduced and diagnosed.
Contributions to cmstatr
are always welcomed. For small changes (fixing typos
or improving the documentation), go ahead and submit a pull request. For more
significant changes, such as new features, please discuss the proposed change
in an issue first.
R CMD check
passes with no errors, warnings or noteslintr
packageroxygen2
testthat
.
If your contribution fixes a bug, then the test(s) that you add should fail
before your bug-fix patch is applied and should pass after the code is
patched.NEWS.md
below
the current development versionTesting is performed using testthat
. Edition 3 of that package is used and
parallel processing enabled. If you wish to use more than two CPUs, set the
environment variable TESTTHAT_CPUS
to the number of CPUs that you want to
use. One way of doing this is to create the file .Rprofile
with the following
contents. This file is ignored both by git
and also in .Rbuildingore
.
Sys.setenv(TESTTHAT_CPUS = 8)
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