In pbsag/swimr: Functions for Looking at Swim

library(knitr)
opts_chunk$set(fig.width=8, fig.height=6)

I have been tasked with coming up with a convenient method for digesting the results of a SWIM model run. I think the best thing to do is to create a series of helper functions that will create plots or calculate metrics on tables pulled directly from the database. I have wrapped these functions in an Rpackage that I am calling swimr.

library(swimr)

The package relies on dplyr, ggplot2, and other modern R packages. These should be installed by default, but I use them for lots of things so I'll load them here.

library(dplyr)
library(tidyr)
library(ggplot2)

One advantage of the dplyr package is that it can work on the SQLite database directly. For more information, see the dplyr vignette.

db_path <- "~/Documents/projects/swim/MFhousing.db"
db <- src_sqlite(db_path)
db

The functions have been written in such a way that they can aggregate to MPO, State, or County. Additionally, the user can select a set of those fields to show.

facet <- "COUNTY"
counties <- c("Multnomah", "Washington", "Clackamas")

The user creates a plot using an RMarkdown template included in the package. From inside RStudio,

• New .Rmd
• Templates>
• Either Single Scenario or Compare Scenarios

pbsag/swimr documentation built on Dec. 12, 2020, 3:08 a.m.