R (Computer program language)
R (Computer program language)
GNU-S (Computer program language)
GNU-S (Computer program language)
R (Computer program language)
R <Programm>
R-kieli
R
Domain-specific programming languages
Domain-specific programming languages
R (logiciel)
Acevedo, Miguel F., Introduction to renewable power systems and the environment with R
Adler, Joseph, M.Eng. R in a nutshell
Adler, Joseph, M.Eng. R in a nutshell
Ahn, Hongshik. Probability and statistics for science and engineering with examples in R
Aho, Ken A. Foundational and applied statistics for biologists using R
Aitkin, Murray A. Statistical modelling in R
Aizaki, Hideo. Stated preference methods using R
Akritas, Michael G. Probability & statistics with R for engineers and scientists
Akritas, Michael G., Probability & statistics with R for engineers and scientists
Albert, Jim, 1953- Bayesian computation with R
Albert, Jim, 1953- Bayesian computation with R
Albert, Jim, 1953- R by example
Alfaro, Esteban, 1977- Ensemble classification methods with applications in R
Alfaro, Esteban, 1977- Ensemble classification methods with applications in R
Alonso, Ariel (Statistician) Applied surrogate endpoint evaluation methods with SAS and R
Ando, Tomohiro, Kōjigen dēta bunseki no hōhō :
Armstrong, David A., II, 1976- Analyzing spatial models of choice and judgment with R
Auerbach, Charles. Making your case :
Baayen, R. Harald. Analyzing linguistic data :
Baddeley, Adrian, Spatial point patterns :
Barker, Tom, 1977- Pro data visualization using R and JavaScript
Bartolucci, Francesco, Statistical analysis of questionnaires :
Basso, Dario. Permutation tests for stochastic ordering and ANOVA :
Baumer, Benjamin, Modern data science with R
Beaujean, A. Alexander, 1978- Latent variable modeling using R :
Beckerman, Andrew P. Getting started with R :
Beckerman, Andrew P., Getting started with R :
Belhekar, Vivek M., Statistics for psychology using R
Bennett, Mark J. (Mark Joseph), 1959- Financial analytics with R :
Beyersmann, Jan. Competing risks and multistate models with R
Beysolow, Taweh, II, Introduction to deep learning using R :
Bilder, Christopher R., Analysis of categorical data with R
Bivand, Roger. Applied spatial data analysis with R
Bivand, Roger. Applied spatial data analysis with R
Blangiardo, Marta. Spatial and spatio-temporal Bayesian models with R-INLA
Blangiardo, Marta. Spatial and spatio-temporal Bayesian models with R-INLA
Bloomfield, Victor A. Computer simulation and data analysis in molecular biology and biophysics :
Bloomfield, Victor A., Using R for numerical analysis in science and engineering
Bolker, Benjamin M., 1967- Ecological models and data in R
Bonnini, Stefano. Nonparametric hypothesis testing :
Bonnini, Stefano. Nonparametric hypothesis testing :
Borcard, Daniel. Numerical ecology with R
Bouveyron, Charles, 1979- Model-based clustering and classification for data science :
Braun, John, 1963- first course in statistical programming with R
Braun, John, 1963- first course in statistical programming with R
Bremer, M. (Martina) Using R at the bench :
Bretz, Frank. Multiple comparisons using R
Broström, Göran. Event history analysis with R
Brown, Robert D., III, Business case analysis with R :
Brunsdon, Chris, introduction to R for spatial analysis & mapping
Burger, Scott V., Introduction to machine learning with R :
Buttrey, Samuel, data scientist's guide to acquiring, cleaning and managing data in R
Buttrey, Samuel, data scientist's guide to acquiring, cleaning and managing data in R
Cano, Emilio L. Six sigma with R :
Carlberg, Conrad George, R for Microsoft Excel users :
Carlson, David Lee, 1952- Quantitative methods in archaeology using R
Carmona, R. (René) Statistical analysis of financial data in S-PLUS
Carroll, Jonathan, PhD, Beyond spreadsheets with R :
Chakraborty, Dev P., Observer performance methods for diagnostic imaging :
Chambers, John M. Software for data analysis :
Chan, B. K. C. (Bertram Kim-Cheong), Applied probabilistic calculus for financial engineering :
Chan, B. K. C. (Bertram Kim-Cheong), Applied probabilistic calculus for financial engineering :
Chang, Mark. Adaptive design theory and implementation using SAS and R
Chang, Mark. Adaptive design theory and implementation using SAS and R
Chang, Mark. Introductory adaptive trial designs :
Chang, Sau Sheong. Exploring everyday things with R and Ruby
Chen, Ding-Geng, Applied meta-analysis with R
Chen, Ding-Geng, Clinical trial data analysis using R
Chen, Ding-Geng. Clinical trial data analysis using R
Chernick, Michael R. introduction to bootstrap methods with applications to R
Chihara, Laura, 1957- Mathematical statistics with resampling and R
Chihara, Laura, 1957- Mathematical statistics with resampling and R
Chollet, François, Deep learning with R
Cichosz, Pawel, Data mining algorithms :
Cichosz, Pawel, Data mining algorithms :
Claude, Julien. Morphometrics with R
Cohen, Yosef, 1946- Statistics and data with R :
Conlan, Chris, Automated trading with R :
Cook, Dianne. Interactive and Dynamic Graphics for Data Analysis :
Cornillon, Pierre-André. Statistiques avec R. English
Cotton, Richard, Learning R
Cotton, Richard, Testing R code
Cowpertwait, Paul S. P. Introductory time series with R
Crawley, Michael J. R book
Crawley, Michael J. R book
Crawley, Michael J. R book
Crawley, Michael J. Statistics :
Crawley, Michael J. Statistics :
Crawley, Michael J. Statistics :
Croissant, Yves, 1969- Panel data econometrics with R
Croissant, Yves, 1969- Panel data econometrics with R
Cryer, Jonathan D. Time series analysis :
Curran, James Michael. Introduction to data analysis with R for forensic scientists
Dalgaard, Peter. Introductory statistics with R
Dalgaard, Peter. Introductory statistics with R
Davies, Tilman M., book of R :
De Vries, Andrie, R for dummies
Demidenko, Eugene, 1948- Advanced statistics with applications in R
Demidenko, Eugene, 1948- Advanced statistics with applications in R
Dennis, Brian, 1952- R student companion
sh2002004407
Work cat.: 2002020947: Introductory statistics with R, c2002:
CIP pref. (R is a statistical computer program ... for Microsoft Windows 95 or later, a variety of Unix and Linus platforms, and Apple Macintosh (OS versions newer than 8.6))
found
R Project for Statistical Computing WWW home page, Mar. 19, 2002
(R is 'GNU-S'- a language and environment for statistical computing and graphics, similar to S system; designed as a true computer language with control-flow instructions for iteration and alternation)
found
Wikipedia, July 19, 2007
(Category: Domain-specific programming languages ... R (programming language))
found
2002-03-19T00:00:00
new
2007-10-12T07:53:54
revised
R (Computer program language)
GNU-S (Computer program language)
GNU-S (Computer program language)
Domain-specific programming languages
R (Computer program language)
R <Programm>
R-kieli
R
R (logiciel)
GNU-S (Computer program language)
2002-03-19T00:00:00
new
2007-10-12T07:53:54
revised