Matrices are important mathematical objects, and they often describe networks of flows among nodes. The power of matrices lies in their ability to organize network-wide calculations, thereby simplifying the work of analysts who study entire systems.
But wouldn't it be nice
if there were an easy way to create R
data frames
whose entries were not numbers but entire matrices?
If that were possible,
matrix algebra could be performed on columns
of similar matrices.
That's the reason for matsindf
.
It provides functions to convert
a suitably-formatted
tidy
data frame into a data frame containing a column of matrices.
Furthermore, matsbyname
is a sister package that
dimnames
in R
)
to free the analyst from the task of aligning rows and columns of
operands (matrices) passed to matrix algebra functions andWhen used together, matsindf
and matsbyname
allow analysts to wield simultaneously the power of both
matrix mathematics
and
tidyverse
functional programming.
You can install matsindf
from CRAN with:
install.packages("matsindf")
You can install a recent development version of matsindf
from github with:
# install devtools if not already installed # install.packages("devtools") devtools::install_github("MatthewHeun/matsindf") # To build vignettes locally, use devtools::install_github("MatthewHeun/matsindf", build_vignettes = TRUE)
The functions in this package were used in Heun et al. [-@Heun:2018].
Find more information, including vignettes and function documentation, at https://MatthewHeun.github.io/matsindf/.
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