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gdemin

expss:Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics

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', '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.

Maintained by Gregory Demin. Last updated 11 months ago.

excel labels labels-support msexcel pivot-tables recode spss spss-statistics tables variable-labels vlookup

11.5 match 84 stars 11.00 score 1.8k scripts 4 dependents

kwstat

lookup:Functions Similar to VLOOKUP in Excel

Simple functions to lookup items in key-value pairs. See Mehta (2021) <doi:10.1007/978-1-4842-6613-7_6>.

Maintained by Kevin Wright. Last updated 8 months ago.

8.1 match 3 stars 5.57 score 66 scripts 1 dependents

business-science

tidyquant:Tidy Quantitative Financial Analysis

Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.

Maintained by Matt Dancho. Last updated 1 months ago.

dplyr financial-analysis financial-data financial-statements multiple-stocks performance-analysis performanceanalytics quantmod stock stock-exchanges stock-indexes stock-lists stock-performance stock-prices stock-symbol tidyverse time-series timeseries xts

3.3 match 872 stars 13.34 score 5.2k scripts

gdemin

maditr:Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'

Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional aggregation/modification. Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.

Maintained by Gregory Demin. Last updated 4 months ago.

data-table magrittr pipes

4.8 match 61 stars 8.98 score 248 scripts 7 dependents

merck

psm3mkv:Evaluate Partitioned Survival and State Transition Models

Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy.

Maintained by Dominic Muston. Last updated 9 months ago.

5.6 match 10 stars 6.43 score 1 scripts

jinkim3

kim:A Toolkit for Behavioral Scientists

A collection of functions for analyzing data typically collected or used by behavioral scientists. Examples of the functions include a function that compares groups in a factorial experimental design, a function that conducts two-way analysis of variance (ANOVA), and a function that cleans a data set generated by Qualtrics surveys. Some of the functions will require installing additional package(s). Such packages and other references are cited within the section describing the relevant functions. Many functions in this package rely heavily on these two popular R packages: Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>. Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.

Maintained by Jin Kim. Last updated 19 days ago.

6.6 match 7 stars 4.66 score 3 scripts

techtonique

bcn:Boosted Configuration Networks

Boosted Configuration (neural) Networks for supervised learning.

Maintained by T. Moudiki. Last updated 6 months ago.

machine-learning neural-networks statistical-learning cpp

3.3 match 5 stars 4.00 score 4 scripts

mattansb

MSBMisc:Some functions I wrote that I find useful

misc. functions.

Maintained by Mattan S. Ben-Shachar. Last updated 2 years ago.

6.6 match 1 stars 1.70 score 2 scripts

anosckin

ExcelFunctionsR:Imports Excel Functions to R

Implements 'Excel' functions in 'R' for your calculation simplicity.You can use most of the aggregate functions, addressing functions,logical functions and text functions. Helps you a ton in learning how 'R' works as some 'Excel' users might be struggling with the program.

Maintained by Nika Salia. Last updated 5 years ago.

5.2 match 1.40 score 25 scripts

rempsyc

pubmedDashboard:Creating PubMed Data Visualization Dashboards

Package to facilitate the creation of data visualization dashboards through the flexdashboard and easyPubMed packages. This package is now deprecated in favour of the pubDashboard package.

Maintained by Rémi Thériault. Last updated 10 months ago.

1.8 match 4 stars 3.20 score 6 scripts