calcRevision {hpiR} | R Documentation |
Calculate revision values of an index
Description
Create estimates of the revision statistics for a house price index
Usage
calcRevision(series_obj, in_place = FALSE, in_place_name = "rev",
smooth = FALSE, ...)
Arguments
series_obj |
A list of progressively longer indexes (a 'serieshpi“ object from 'createSeries()“) |
in_place |
default = FALSE; Calculating in place (adding to hpi) |
in_place_name |
default = 'rev'; Name of revision object in_place |
smooth |
default = FALSE; Use smoothed indexes |
... |
Additional Arguments |
Value
list of length 3 containing:
- period
Data.frame containing the period number, mean and median for that period
- mean
Mean revision for all periods
- median
Median revision for all periods
Further Details
The revision object can be generate "in place" inside of the 'serieshpi' object by setting 'in_place' equal to TRUE.
Examples
# Load example sales
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 revision
series_rev <- calcRevision(series_obj = hpi_series)
[Package hpiR version 0.3.2 Index]