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astrodatR  

Astronomical Data
View on CRAN: Click here


Download and install astrodatR package within the R console
Install from CRAN:
install.packages("astrodatR")

Install from Github:
library("remotes")
install_github("cran/astrodatR")

Install by package version:
library("remotes")
install_version("astrodatR", "0.1")



Attach the package and use:
library("astrodatR")
Maintained by
"Eric D., Feigelson"
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-12
Latest Update: 2014-08-12
Description:
A collection of 19 datasets from contemporary astronomical research. They are described the textbook `Modern Statistical Methods for Astronomy with R Applications' by Eric D. Feigelson and G. Jogesh Babu (Cambridge University Press, 2012, Appendix C) or on the website of Penn State's Center for Astrostatistics (http://astrostatistics.psu.edu/datasets). These datasets can be used to exercise methodology involving: density estimation; heteroscedastic measurement errors; contingency tables; two-sample hypothesis tests; spatial point processes; nonlinear regression; mixture models; censoring and truncation; multivariate analysis; classification and clustering; inhomogeneous Poisson processes; periodic and stochastic time series analysis.
How to cite:
"Eric D., Feigelson" (2014). astrodatR: Astronomical Data. R package version 0.1, https://cran.r-project.org/web/packages/astrodatR. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Complete documentation for astrodatR
Functions, R codes and Examples using the astrodatR R package
Some associated functions: COMBO17_lowz . COUP_var . GX . GlobClus_mag . GlobClus_prop . HIP . LMC_dist . SDSS_QSO . SDSS_ptsrc_test . SDSS_ptsrc_train . Shapley_galaxy . Sun_spot_num . asteroid_dens . censor_Be . ell_gal_profile . exoplanet_RV . plan_neb_LF . protostellar_disks . protostellar_jets . 
Some associated R codes: Full astrodatR package functions and examples
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