Style readme

README.md

@@ -15,7 +15,7 @@ You can install the **stable** version from
 [CRAN](https://cran.r-project.org/package=forecast).
 
 ```s
-install.packages('forecast', dependencies = TRUE)
+install.packages("forecast", dependencies = TRUE)
 ```
 
 You can install the **development** version from
@@ -33,48 +33,48 @@ library(forecast)
 library(ggplot2)
 
 # ETS forecasts
-USAccDeaths %>%
-  ets() %>%
-  forecast() %>%
+USAccDeaths |>
+  ets() |>
+  forecast() |>
   autoplot()
 
 # Automatic ARIMA forecasts
-WWWusage %>%
-  auto.arima() %>%
-  forecast(h=20) %>%
+WWWusage |>
+  auto.arima() |>
+  forecast(h=20) |>
   autoplot()
 
 # ARFIMA forecasts
 library(fracdiff)
 x <- fracdiff.sim( 100, ma=-.4, d=.3)$series
-arfima(x) %>%
-  forecast(h=30) %>%
+arfima(x) |>
+  forecast(h=30) |>
   autoplot()
 
 # Forecasting with STL
-USAccDeaths %>%
-  stlm(modelfunction=ar) %>%
-  forecast(h=36) %>%
+USAccDeaths |>
+  stlm(modelfunction=ar) |>
+  forecast(h=36) |>
   autoplot()
 
-AirPassengers %>%
-  stlf(lambda=0) %>%
+AirPassengers |>
+  stlf(lambda=0) |>
   autoplot()
 
-USAccDeaths %>%
-  stl(s.window='periodic') %>%
-  forecast() %>%
+USAccDeaths |>
+  stl(s.window='periodic') |>
+  forecast() |>
   autoplot()
 
 # TBATS forecasts
-USAccDeaths %>%
-  tbats() %>%
-  forecast() %>%
+USAccDeaths |>
+  tbats() |>
+  forecast() |>
   autoplot()
 
-taylor %>%
-  tbats() %>%
-  forecast() %>%
+taylor |>
+  tbats() |>
+  forecast() |>
   autoplot()
 ```