data.table - Extension of `data.frame`
Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
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21.58 score 3.9k stars 5.1k dependents 296k scripts 941k downloadsfurniture - Furniture for Quantitative Scientists
Contains four main functions (i.e., four pieces of furniture), including table1() which produces a well-formatted table of descriptive statistics common as Table 1 in research articles, tableC() which produces a well-formatted table of correlations, tableF() which provides frequency counts, and washer() which is helpful in cleaning up the data. These furniture-themed functions are designed to simplify common tasks in quantitative analysis. Other data summary and cleaning tools are also available.
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descriptive-statisticsexploratory-data-analysishealthtable-onetable1tablestidytidyverse
8.82 score 51 stars 2 dependents 268 scripts 729 downloadstidyfast - Fast Tidying of Data
Tidying functions built on 'data.table' to provide quick and efficient data manipulation with minimal overhead.
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cpp
6.82 score 188 stars 139 scripts 553 downloadsMarginalMediation - Marginal Mediation
Provides the ability to perform "Marginal Mediation"--mediation wherein the indirect and direct effects are in terms of the average marginal effects (Bartus, 2005, <https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329>). The style of the average marginal effects stems from Thomas Leeper's work on the "margins" package. This framework allows the use of categorical mediators and outcomes with little change in interpretation from the continuous mediators/outcomes. See <doi:10.13140/RG.2.2.18465.92001> for more details on the method.
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average-marginal-effectsmarginsmediationmediation-analysismediatorpartial-effectsrstudio
4.29 score 3 stars 13 scripts 304 downloads