Search Results for the EPA National Library Catalog

Items Found: 60
Showing: Items 1 - 50
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 /	2021
7	Analyzing spatial models of choice and judgment with R /	2014
8	Applied spatial data analysis with R /	2008
9	Applied spatial data analysis with R /	2013
10	Bayesian computation with R /	2007
11	Bayesian computation with R /	2009
12	Bioinformatics and computational biology solutions using R and Bioconductor /	2005
13	Biometry for forestry and environmental data with examples in R /	2020
14	Biostatistics with R : an introduction to statistics through biological data /	2012
15	Building bioinformatics solutions : with Perl, R, and MySQL /	2009
16	Comparing groups : randomization and bootstrap methods using R /	2011
17	Data manipulation With R /	2008
18	Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /	2014
19	Data visualization : a practical introduction /	2019
20	Discovering statistics using R /	2012
21	Doing Bayesian data analysis : a tutorial with R and BUGS /	2011
22	Dynamic documents with R and knitr /	2016
23	Ecological models and data in R /	2008
24	Environmental and ecological statistics with r /	2017
25	Environmental and ecological statistics with R /	2010
26	Getting started with R : an introduction for biologists /	2017
27	Getting started with R : an introduction for biologists /	2012
28	Ggplot2 : elegant graphics for data analysis /	2009
29	Ggplot2 essentials : explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs /	2015
30	Hands-on programming with R /	2014
31	Introduction to data science : data analysis and prediction algorithms with R /	2020
32	Introductory statistics with R /	2008
33	Learning R /	2013
34	Nonlinear regression with R /	2008
35	Nonparametric statistical methods using R /	2015
36	Parallel computing for data science : with examples in R, C++ and CUDA /	2016
37	R cookbook /	2011
38	R for data science : import, tidy, transform, visualize, and model data /	2016
39	R for everyone : advanced analytics and graphics /	2017
40	R graphics cookbook /	2013
41	R in a nutshell /	2012
42	R in a nutshell /	2010
43	R in action : data analysis and graphics with R /	2011
44	R packages /	2015
45	R programming : a step-by-step guide for absolute beginners /	2019
46	Reproducible research with R and R Studio /	2014
47	Robust statistical methods with R /	2006
48	Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS /	2004
49	Statistical computing with R /	2008
50	Statistical data analysis explained : applied environmental statistics with R /	2008

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