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ts_plt.Rd
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ts_plt.Rd
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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/time_series_plots.R
\name{ts_plt}
\alias{ts_plt}
\title{Time Series Plot}
\usage{
ts_plt(
.data,
.date_col,
.value_col,
.color_col = NULL,
.facet_col = NULL,
.facet_ncol = NULL,
.interactive = FALSE
)
}
\arguments{
\item{.data}{The data to pass to the function, must be a tibble/data.frame.}
\item{.date_col}{The column holding the date.}
\item{.value_col}{The column holding the value.}
\item{.color_col}{The column holding the variable for color.}
\item{.facet_col}{The column holding the variable for faceting.}
\item{.facet_ncol}{How many columns do you want.}
\item{.interactive}{Return a \code{plotly} plot if set to TRUE and a static \code{ggplot2}
plot if set to FALSE. The default is FALSE.}
}
\value{
A \code{plotly} plot or a \code{ggplot2} static plot
}
\description{
This is a warpper function to the \code{\link[timetk:plot_time_series]{timetk::plot_time_series()}} function with
a limited functionality parameter set. To see the full reference please visit
the \code{timetk} package site.
}
\details{
This function takes only a few of the arguments in the function and
presets others while choosing the defaults on others. The smoother functionality
is turned off.
}
\examples{
suppressPackageStartupMessages(library(dplyr))
library(timetk)
library(healthyR.data)
healthyR.data::healthyR_data \%>\%
filter(ip_op_flag == "I") \%>\%
select(visit_end_date_time, service_line) \%>\%
filter_by_time(
.date_var = visit_end_date_time
, .start_date = "2020"
) \%>\%
group_by(service_line) \%>\%
summarize_by_time(
.date_var = visit_end_date_time
, .by = "month"
, visits = n()
) \%>\%
ungroup() \%>\%
ts_plt(
.date_col = visit_end_date_time
, .value_col = visits
, .color_col = service_line
)
}
\seealso{
\url{https://business-science.github.io/timetk/reference/plot_time_series.html}
}
\author{
Steven P. Sanderson II, MPH
}