plot.seriesaccuracy {hpiR} | R Documentation |
Plot method for 'seriesaccuracy' object
Description
Specific plotting method for seriesaccuracy objects
Usage
## S3 method for class 'seriesaccuracy'
plot(x, return_plot = FALSE, ...)
Arguments
x |
Object of class 'hpiaccuracy“ |
return_plot |
default = FALSE; Return the plot to the function call |
... |
Additional argument (passed to 'plot.hpiaccuracy()“) |
Value
'plotaccuracy' object inheriting from a ggplot object
Examples
# Load data
data(ex_sales)
# Create index
rt_index <- rtIndex(trans_df = ex_sales,
periodicity = 'monthly',
min_date = '2010-06-01',
max_date = '2015-11-30',
adj_type = 'clip',
date = 'sale_date',
price = 'sale_price',
trans_id = 'sale_id',
prop_id = 'pinx',
estimator = 'robust',
log_dep = TRUE,
trim_model = TRUE,
max_period = 48,
smooth = FALSE)
# Create Series (Suppressing messages do to small sample size of this example)
suppressMessages(
hpi_series <- createSeries(hpi_obj = rt_index,
train_period = 12))
# Calculate insample accuracy
hpi_series_accr <- calcSeriesAccuracy(series_obj = hpi_series,
test_type = 'rt',
test_method = 'insample')
# Make Plot
plot(hpi_series_accr)
[Package hpiR version 0.3.2 Index]