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eatRep

Educational Assessment Tools for Replication Methods (Jackknife-2, Bootstrap, Multiple Imputation Pooling)

https://github.com/weirichs/eatrep

Science Score: 36.0%

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    CITATION.cff file
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    1 of 4 committers (25.0%) from academic institutions
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    Low similarity (16.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Educational Assessment Tools for Replication Methods (Jackknife-2, Bootstrap, Multiple Imputation Pooling)

Basic Info
Statistics
  • Stars: 1
  • Watchers: 2
  • Forks: 1
  • Open Issues: 7
  • Releases: 0
Created almost 8 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

eatRep eatRep website

CRAN status R-CMD-check <!-- badges: end -->

Overview

eatRep (Educational Assessment Tools for Replication Methods) provides functions to compute some basic statistic operations (means and adjusted means, standard deviations, frequency tables, percentiles and generalized linear models) in complex survey designs comprising multiple imputed variables and/or a clustered sampling structure which both deserve special procedures at least in estimating standard errors.

Installation

```R

Install eatRep from GitHub via

devtools::install_github("weirichs/eatRep") ```

View package documentation

```R library(eatRep)

View package documentation

package?eatRep ```

Exemplary analysis

The following example illustrates the computation of mean educational outcomes of three fictitious countries. Data stem from a large-scale assessment where reading competencies were assessed using dichotomous items (true/false). As the outcome is considered to be latent, plausible values were drawn for each examinee. Plausible values can be considered as multiple imputations of the inherently unobserved latent outcome. The within-person variance of plausible values is used to determine the measurement error. During sampling, classes were drawn instead of individuals. As the sample is clustered then, computation of sampling error involves replication methods.

```R library(eatRep)

compute group means for multiple imputed data in a clustered structure

from a large-scale assessment survey

data(lsa)

Example 1: only means, SD and variances for each country

We only consider domain 'reading'

rd <- lsa[which(lsa[,"domain"] == "reading"),]

We only consider the first "nest".

rdN1 <- rd[which(rd[,"nest"] == 1),]

First, we only consider year 2010

rdN1y10<- rdN1[which(rdN1[,"year"] == 2010),]

mean estimation

means1 <- repMean(datL = rdN1y10, ID="idstud", wgt="wgt", type = "JK2", PSU = "jkzone", repInd = "jkrep", imp="imp", groups = "country", dependent = "score", na.rm=FALSE, doCheck=TRUE, engine = "BIFIEsurvey")

reporting function: the function does not know which content domain is being considered,

so the user may add new columns in the output using the 'add' argument

res1 <- report2(means1, add = list(domain = "reading"))[["plain"]] ```

Owner

  • Login: weirichs
  • Kind: user

GitHub Events

Total
  • Issues event: 6
  • Delete event: 7
  • Issue comment event: 3
  • Member event: 1
  • Push event: 45
  • Pull request review event: 6
  • Pull request review comment event: 2
  • Pull request event: 7
  • Create event: 4
Last Year
  • Issues event: 6
  • Delete event: 7
  • Issue comment event: 3
  • Member event: 1
  • Push event: 45
  • Pull request review event: 6
  • Pull request review comment event: 2
  • Pull request event: 7
  • Create event: 4

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 314
  • Total Committers: 4
  • Avg Commits per committer: 78.5
  • Development Distribution Score (DDS): 0.465
Past Year
  • Commits: 20
  • Committers: 2
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.1
Top Committers
Name Email Commits
weirichs 4****s 168
Sebastian Weirich s****h@i****e 106
Benjamin Becker b****r@w****e 39
beckerbenj 3****j 1
Committer Domains (Top 20 + Academic)
iqb.hu-berlin.de: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 8
  • Total pull requests: 11
  • Average time to close issues: 9 months
  • Average time to close pull requests: 2 months
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 4.13
  • Average comments per pull request: 0.27
  • Merged pull requests: 10
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 5
  • Average time to close issues: 2 days
  • Average time to close pull requests: 2 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 4.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 5
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • beckerbenj (6)
  • grewered (1)
  • sachseka (1)
Pull Request Authors
  • weirichs (8)
  • grewered (7)
Top Labels
Issue Labels
bug (1) invalid (1) enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 704 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 13
  • Total maintainers: 1
cran.r-project.org: eatRep

Educational Assessment Tools for Replication Methods

  • Versions: 13
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 704 Last month
Rankings
Forks count: 21.0%
Dependent repos count: 23.8%
Average: 28.5%
Dependent packages count: 28.7%
Stargazers count: 30.8%
Downloads: 38.2%
Maintainers (1)
sebastian.weirich@iqb.hu-berlin.de
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • BIFIEsurvey * depends
  • R >= 4.1 depends
  • lavaan >= 0.6 depends
  • progress * depends
  • survey >= 4.1 depends
  • EffectLiteR * imports
  • Hmisc * imports
  • boot * imports
  • car * imports
  • combinat * imports
  • eatGADS >= 0.20.0 imports
  • eatTools >= 0.7.3 imports
  • estimatr * imports
  • fmsb * imports
  • janitor * imports
  • lme4 * imports
  • mice >= 2.46 imports
  • miceadds * imports
  • msm * imports
  • plyr * imports
  • reshape2 * imports
  • tidyr * imports
  • utils * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/check-r-package v1 composite
  • r-lib/actions/setup-pandoc v1 composite
  • r-lib/actions/setup-r v1 composite
  • r-lib/actions/setup-r-dependencies v1 composite