BaseSet 0.9.0
I’m excited to provide a new release of BaseSet, the package implementing a a class and methods to work with (fuzzy) sets.
This release was focused on making it easier to work with it.
From the beginning it was engineered towards the tidyverse and this time I focused on general R methods like $, [, c:
New methods
First we can create a TidySet or TS for short:
library("BaseSet", warn.conflicts = FALSE)
packageVersion("BaseSet")
## [1] '0.9.0'
l <- list(A = "1",
B = c("1", "2"),
C = c("2", "3", "4"),
D = c("1", "2", "3", "4")
)
TS <- tidySet(l)Up till now there was no compatibility with the base R methods but there was with the tidyverse.
TSa <- TS[["A"]]
TSb <- TS[["B"]]Maybe this doesn’t look much but previously it wasn’t possible to subset the class. Initially I thought that working with a single class per session would be enough. Later I realized that maybe people would have good reasons to split or combine multiple objects:
TSab <- c(TSa, TSb)
TSab
## elements sets fuzzy
## 1 1 A 1
## 2 1 B 1
## 3 2 B 1Note that subsetting by sets does not produce the same object as elements are kept:
dim(TSab)
## Elements Relations Sets
## 2 3 2
dim(TS[1:2, "sets"])
## Elements Relations Sets
## 4 3 2You’ll need to drop the elements:
dim(droplevels(TS[1:2, "sets"]))
## Elements Relations Sets
## 2 3 2We can include more information like this:
TSab[1:2, "relations", "type"] <- c("new", "addition")
TSab[1:2, "sets", "origin"] <- c("fake", "real")
TSab
## elements sets fuzzy type origin
## 1 1 A 1 new fake
## 2 1 B 1 addition real
## 3 2 B 1 <NA> realWith this release is easier to access the columns of the TidySet:
TSab$type
## [1] "new" "addition" NA
TSab$origin
## [1] "fake" "real"
TS$sets
## [1] "A" "B" "B" "C" "C" "C" "D" "D" "D" "D"If you pay attention you’ll realize that it will look at the minimum information required. But if the column is present in the relations and elements or sets slots it will pick the first.
You can use:
TS[, "sets", "new"] <- "a"
TS[, "sets", "new"]I recommend reading carefully the help page of ?`extract-TidySet` and make some tests based on the examples.
I might have created some bugs or friction points with the extraction operations, let me know and I’ll address them (That’s the reason why I kept it below a 1.0 release).
More usable
Another usability addition to the class is the possibility to autocomplete.
Now if you tab TS$ty and press TAB it should complete to TS$type because there is a column called type. This will make it easier to use the $.
With this release, we can now check the number of sets and the number of relations each set has:
length(TS)
## [1] 4
lengths(TS)
## A B C D
## 1 2 3 4New function
The new function union_closed checks if the combinations of sets produce already existing sets.
union_closed(TS, sets = c("A", "B", "C"))
## [1] FALSE
union_closed(TS)
## [1] TRUENext steps
I hope this makes it even easier to work with the class. Combine different objects, and manipulate it more intuitively.
While creating this document I realized it has some friction points.
In next release it will be possible to:
- Subset the object by element or set name, if only querying elements and sets slots.
For example
TS[c("3", "4"), "elements", "NEWS"] <- TRUE - Use
namesanddimnamesto discover which data is in the object. - Some bug fixes about these methods.
Enjoy!
I would also apreciate to hear some feedback about how you are using the package. It will help me to direct the development/maintenance of the package wherever it is more useful.
Reproducibility
## ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
## setting value
## version R version 4.3.1 (2023-06-16)
## os Ubuntu 22.04.3 LTS
## system x86_64, linux-gnu
## ui X11
## language (EN)
## collate en_US.UTF-8
## ctype en_US.UTF-8
## tz Europe/Madrid
## date 2023-12-18
## pandoc 3.1.1 @ /usr/lib/rstudio/resources/app/bin/quarto/bin/tools/ (via rmarkdown)
##
## ─ Packages ───────────────────────────────────────────────────────────────────────────────────────────────────────────
## package * version date (UTC) lib source
## BaseSet * 0.9.0 2023-08-23 [1] local
## blogdown 1.18 2023-06-19 [1] CRAN (R 4.3.1)
## bookdown 0.37 2023-12-01 [1] CRAN (R 4.3.1)
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## dplyr 1.1.4 2023-11-17 [1] CRAN (R 4.3.1)
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## knitr 1.45 2023-10-30 [1] CRAN (R 4.3.2)
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## pillar 1.9.0 2023-03-22 [1] CRAN (R 4.3.1)
## pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.3.1)
## R6 2.5.1 2021-08-19 [1] CRAN (R 4.3.1)
## rlang 1.1.2 2023-11-04 [1] CRAN (R 4.3.1)
## rmarkdown 2.25 2023-09-18 [1] CRAN (R 4.3.1)
## rstudioapi 0.15.0 2023-07-07 [1] CRAN (R 4.3.1)
## sass 0.4.8 2023-12-06 [1] CRAN (R 4.3.1)
## sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.3.1)
## tibble 3.2.1 2023-03-20 [1] CRAN (R 4.3.1)
## tidyselect 1.2.0 2022-10-10 [1] CRAN (R 4.3.1)
## utf8 1.2.4 2023-10-22 [1] CRAN (R 4.3.2)
## vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.3.1)
## xfun 0.41 2023-11-01 [1] CRAN (R 4.3.2)
## yaml 2.3.8 2023-12-11 [1] CRAN (R 4.3.1)
##
## [1] /home/lluis/bin/R/4.3.1
## [2] /opt/R/4.3.1/lib/R/library
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