In WoVollmer/pkgTS: Time Series functions

knitr::opts_chunk$set(fig.width = 7, fig.asp = 0.618)

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(pkgTS)

R Files

Up to now following R files are part of the package:

dir("./../R/")

Corona data and example figure

The data for the ggts_corona functions are a data.frame / tibble with following structure:

Data long format with Case_Type = Confirmed | Deaths:

tail(corona_data %>% dplyr::filter(Country == "Germany"))

Data wide format creation with dissolved Case_Type:

tail(uts_get_corona_data_wide(
  corona_data %>% dplyr::filter(Country == "Germany")))

Figure

Basic example plot of corona time series data:

ggts_cum_daily(corona_data, country = "Germany", weeks = 6)

Corona Virus Dashboard

The Corona Virus Dashboard provides analysis of the time series data provided by the Johns Hopkins University on GitHub. For links and references see the Dashboard-file Corona Virus Dashboard Web Site rsp. RMD-file Corona_Virus_TS_Dashboard.Rmd.

The Corona_Virus_TS_Dashboard.Rmd file is stored on GitHub repository.

The Corona Virus Dashboard Web Site is published as GitHub page

Climate data and example figure

The data for the ggts_climate functions are a data.frame / tibble with following structure:

Data long format with Measure = Temperature | Precipitation:

head(monthly_climate_basel)

tail(monthly_climate_basel)

Data wide format with Measure = CO2:

tail(monthly_co2_wide)

Figure

Basic example plot of climate time series data:

plot_monthly <- ggts_year_over_month(monthly_climate_basel %>%
                                       dplyr::filter(Measure == "Temperature"), period = Year)

plot_monthly
plot_monthly + ggplot2::coord_polar("x", start = pi)

ggts_year_over_month(monthly_climate_basel, period = Year) +
  ggplot2::facet_wrap(~Measure, ncol = 1, scales = "free_y")

WoVollmer/pkgTS documentation built on June 2, 2021, 4:02 a.m.