EdSurvey-package: Analysis of NCES Education Survey and Assessment Data
In EdSurvey: Analysis of NCES Education Survey and Assessment Data
EdSurvey-package R Documentation
Analysis of NCES Education Survey and Assessment Data
Description
The EdSurvey package uses appropriate methods for analyzing NCES
datasets with a small memory
footprint. Existing system control files, included with the
data, are used
to read in and format the data for further processing.
Details
To get started using EdSurvey, see the vignettes
for tutorials and the statistical methodologies. Use
vignette("introduction", package="EdSurvey") to see the vignettes.
The package provides functions called readNAEP,
readCivEDICCS, readICILS, readPIAAC,
readPIRLS, read_ePIRLS, readPISA, readTALIS,
readTIMSS, readTIMSSAdv, and readECLS_K2011
to read in NCES datasets.
The functions
achievementLevels,
cor.sdf,
edsurveyTable,
summary2,
lm.sdf,
logit.sdf,
mixed.sdf,
rq.sdf,
percentile, and
gap
can then be used to analyze data.
For advanced users, getData extracts
the data of interest as a data frame for further processing.
EdSurvey documentation built on Nov. 2, 2023, 6:25 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| EdSurvey-package | R Documentation |
Analysis of NCES Education Survey and Assessment Data
Description
The EdSurvey package uses appropriate methods for analyzing NCES
datasets with a small memory
footprint. Existing system control files, included with the
data, are used
to read in and format the data for further processing.
Details
To get started using EdSurvey, see the vignettes
for tutorials and the statistical methodologies. Use
vignette("introduction", package="EdSurvey") to see the vignettes.
The package provides functions called readNAEP,
readCivEDICCS, readICILS, readPIAAC,
readPIRLS, read_ePIRLS, readPISA, readTALIS,
readTIMSS, readTIMSSAdv, and readECLS_K2011
to read in NCES datasets.
The functions
achievementLevels,
cor.sdf,
edsurveyTable,
summary2,
lm.sdf,
logit.sdf,
mixed.sdf,
rq.sdf,
percentile, and
gap
can then be used to analyze data.
For advanced users, getData extracts
the data of interest as a data frame for further processing.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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