Title: Seasonal Adjustment by Frequency Analysis

Packaged: 2015-03-26 16:37:25 UTC; Francisco

Packaged: 2017-04-21 13:50:42 UTC; Francisco

Packaged: 2017-08-21 15:50:13 UTC; Francisco

Packaged: 2018-07-11 16:12:49 UTC; Francisco

Packaged: 2021-08-12 10:18:39 UTC; rstudio-user

Author: Jakson Aquino <jalvesaq@gmail.com> and Dirk Enzmann
Description: This package contains functions to describe weighted
categorical variables and functions to facilitate the character

Author: Jakson Aquino. Includes R source code and/or documentation
written by Dirk Enzmann, Marc Schwartz, and Nitin Jain

written by Dirk Enzmann, Marc Schwartz, Nitin Jain, and Stefan

Description: Weighted frequency and contingency tables of categorical
variables and of the comparison of the mean value of a numerical
variable by the levels of a factor, and methods to produce xtable
objects of the tables and to plot them. There are also functions to
facilitate the character encoding conversion of objects, to quickly
convert fixed width files into csv ones, and to export a data.frame to
a text file with the necessary R and SPSS codes to reread the data.

Imports: xtable, utils, grDevices, graphics, stats

Authors@R: person("Craig", "McGowan", email = "mcgowan.cj@gmail.com",
Helper functions for descriptive tasks such as making print-friendly bivariate
tables, sample size flow counts, and visualizing sample distributions. Also
contains 'R' approximations of some common 'SAS' and 'Stata' functions such
as 'PROC MEANS' from 'SAS' and 'ladder', 'gladder', and 'pwcorr' from 'Stata'.
Imports: dplyr (>= 0.7), forcats, tibble, tidyr, purrr, broom, stringr,
Packaged: 2019-08-02 11:14:37 UTC; craigmcgowan

Title: Describe Data in R Using Common Descriptive Statistics
Description: Allows users to quickly and easily describe data using
Packaged: 2015-09-02 14:53:11 UTC; phendricks

Packaged: 2015-09-17 16:01:27 UTC; phendricks

Title: Descriptive Statistics & Distributions Exploration
Description: Generate descriptive statistics such as measures of location,
dispersion, frequency tables, cross tables, group summaries and multiple
one/two way tables. Visualize and compute percentiles/probabilities of
normal, t, f, chi square and binomial distributions.