Search Results for the EPA National Library Catalog

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Your Search: (SUBJECT=R Computer program language)

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Select Item	Title	Year Published
1	A handbook of statistical analyses using R /	2010
2	Advanced environmental monitoring with remote sensing time series data and R /	2020
3	Advanced R /	2015
4	An introduction to bootstrap methods with applications to R /	2011
5	An R and S-Plus companion to applied regression /	2002
6	Analyzing spatial models of choice and judgment with R /	2014
7	Applied spatial data analysis with R /	2008
8	Applied spatial data analysis with R /	2013
9	Bayesian computation with R /	2009
10	Bayesian computation with R /	2007
11	Bioinformatics and computational biology solutions using R and Bioconductor /	2005
12	Biometry for forestry and environmental data with examples in R /	2020
13	Biostatistics with R : an introduction to statistics through biological data /	2012
14	Building bioinformatics solutions : with Perl, R, and MySQL /	2009
15	Comparing groups : randomization and bootstrap methods using R /	2011
16	Data manipulation With R /	2008
17	Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /	2014
18	Data visualization : a practical introduction /	2019
19	Discovering statistics using R /	2012
20	Doing Bayesian data analysis : a tutorial with R and BUGS /	2011
21	Dynamic documents with R and knitr /	2016
22	Ecological models and data in R /	2008
23	Environmental and ecological statistics with r /	2017
24	Environmental and ecological statistics with R /	2010
25	Getting started with R : an introduction for biologists /	2017
26	Ggplot2 : elegant graphics for data analysis /	2009
27	Ggplot2 essentials : explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs /	2015
28	Hands-on programming with R /	2014
29	Introduction to data science : data analysis and prediction algorithms with R /	2020
30	Introductory statistics with R /	2008
31	Learning R /	2013
32	Nonlinear regression with R /	2008
33	Nonparametric statistical methods using R /	2015
34	Parallel computing for data science : with examples in R, C++ and CUDA /	2016
35	R cookbook /	2011
36	R for data science : import, tidy, transform, visualize, and model data /	2016
37	R for everyone : advanced analytics and graphics /	2017
38	R graphics cookbook /	2013
39	R in a nutshell /	2012
40	R in a nutshell /	2010
41	R in a nutshell /	2012
42	R in action : data analysis and graphics with R /	2011
43	R packages /	2015
44	R programming : a step-by-step guide for absolute beginners /	2019
45	Reproducible research with R and R Studio /	2014
46	Robust statistical methods with R /	2006
47	Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS /	2004
48	Statistical computing with R /	2008
49	Statistical data analysis explained : applied environmental statistics with R /	2008
50	Statistical methods for environmental epidemiology with R a case study in air pollution and health / [electronic resource] :	2008

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