README.md

In nmecsys/BETS: Brazilian Economic Time Series

BETS

:exclamation: Please read this carefully before using the latest BETS version (0.4.4)

The package went through considerable changes.

BETS - Brazilian Economic Times Series

Installation

# cran version
install.packages("BETS") 
# dev version
devtools::install_github("nmecsys/BETS")

Usage

library(BETS)

:exclamation: Important (update 0.4.2)

1. BETS package underwent major changes in response to R Journal's reccomendations:
   • New function names (see table below)
   • Database onnection credentials are now encrypted
   • Sample data was included in /data, to allow the user to run examples even when offline, or when our server is down.

| Old name | New name | |:------------------|:------------| | BETS.search | BETSsearch | | BETS.get | BETSget | | BETS.chart | chart | | BETS.save.sas | saveSas | | BETS.save.stata | saveStata | | BETS.save.spss | saveSpss | | BETS.corrgram | corrgram | | BETS.dashboard | dashboard | | BETS.deflate | deflate | | BETS.dummy | dummy | | BETS.grnn.test | grnn.test | | BETS.grnn.train | grnn.train | | BETS.normalize | normalize | | BETS.predict | predict | | BETS.report | report | | BETS.sidra.get | sidraGet | | BETS.sidra.search | sidraSearch | | BETS.std_resid | std_resid | | BETS.t_test | t_test | | BETS.ur_test | ur_test |

1. Package forecast's newest version (8.3) contains a bug in ndiffs. An error arises when trying to run Augmented Dickey-Fuller (ADF) tests. Therefore, BETS' report function does not work properly if the user opt for SARIMA analysis with ADF tests. A solution is to install forecast 8.2:

remove.packages("forecast")
install.packages("devtools")
devtools::install_version("forecast", version = "8.2", type = "source")

Using BETS in python

import rpy2.robjects as ro
import pandas as pd
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri
from rpy2.robjects.conversion import localconverter


# Getting Industrial Production (2002 = 100) - Rio de Janeiro

bets = importr("BETS")
dados = bets.BETSget(code=11081, data_frame=True)


with localconverter(ro.default_converter + pandas2ri.converter):
    pim_rj = ro.conversion.rpy2py(dados)

print(pim_rj)

nmecsys/BETS documentation built on April 8, 2021, 1:54 a.m.