c(
person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")),
person("Daniel", "Tylee", email = "dantylee@gmail.com", role = "ctb"),
person("Samuel", "Lee", email = "samleenz@me.com", role = "ctb")
)
cluster, MASS, e1071, frbs, gtools, lattice, methods, nnet,
plyr, randomForest, ROCR, rpart, sampling, stats
Biobase, edgeR, GEOquery, h2o, knitr, limma, magrittr, mRMRe,
pathClass, propr, RankProd, rmarkdown, testthat
Thomas Quinn [aut, cre],
Daniel Tylee [ctb],
Samuel Lee [ctb]

cluster, MASS, e1071, frbs, lattice, methods, nnet, plyr,
randomForest, ROCR, rpart, sampling, stats

cluster, MASS, e1071, glmnet, frbs, lattice, methods, nnet,
plyr, randomForest, ROCR, rpart, sampling, stats
balance, Biobase, edgeR, GEOquery, h2o, knitr, limma,
magrittr, mRMRe, pathClass, propr, RankProd, rmarkdown,
testthat

balance, Biobase, edgeR, GEOquery, h2o, knitr, limma,
magrittr, mRMRe, propr, RankProd, rmarkdown, testthat, vegan

Data sets from "Forecasting with exponential smoothing"
Data sets from the book "Forecasting with exponential
smoothing: the state space approach" by Hyndman, Koehler, Ord
and Snyder (Springer, 2008).

Data Sets from "Forecasting with Exponential Smoothing"
Data sets from the book "Forecasting with exponential smoothing: the state space approach" by
Hyndman, Koehler, Ord and Snyder (Springer, 2008).

Tables, Labels and Some Useful Functions from Spreadsheets and
'SPSS' Statistics
c(
person("Gregory", "Demin", email = "gdemin@gmail.com",
role = c("aut", "cre")),
person("Sebastian", "Jeworutzki", email="Sebastian.Jeworutzki@ruhr-uni-bochum.de",
role = c("ctb"), comment = c(ORCID = "0000-0002-2671-5253"))
)
foreign, utils, stats, magrittr (>= 1.5), htmlTable (>=
1.11.0), matrixStats (>= 0.51.0), data.table (>= 1.10),
DT, htmltools, knitr, repr, ggplot2, testthat, openxlsx, fst,
huxtable, rmarkdown
Package computes and displays tables with support for 'SPSS'-style
labels, multiple and nested banners, weights, multiple-response variables
and significance testing. There are facilities for nice output of tables
in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods
for labelled variables add value labels support to base R functions and to
some functions from other packages. Additionally, the package brings
popular data transformation functions from 'SPSS' Statistics and 'Excel':
'RECODE', 'COUNT', 'COMPUTE', 'DO IF', 'COUNTIF', 'VLOOKUP' and etc.
These functions are very useful for data processing in marketing research
surveys. Package intended to help people to move data
processing from 'Excel' and 'SPSS' to R.
Gregory Demin [aut, cre],
Sebastian Jeworutzki [ctb] (<https://orcid.org/0000-0002-2671-5253>)