Search Results for the EPA National Library Catalog

Items Found: 62
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 /	2013
9	Applied spatial data analysis with R /	2008
10	Bayesian applications in environmental and ecological studies with R and Stan /	2023
11	Bayesian computation with R /	2009
12	Bayesian computation with R /	2007
13	Bioinformatics and computational biology solutions using R and Bioconductor /	2005
14	Biometry for forestry and environmental data with examples in R /	2020
15	Biostatistics with R : an introduction to statistics through biological data /	2012
16	Building bioinformatics solutions : with Perl, R, and MySQL /	2009
17	Comparing groups : randomization and bootstrap methods using R /	2011
18	Data manipulation With R /	2008
19	Data manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively /	2014
20	Data visualization : a practical introduction /	2019
21	Discovering statistics using R /	2012
22	Doing Bayesian data analysis : a tutorial with R and BUGS /	2011
23	Dynamic documents with R and knitr /	2016
24	Ecological models and data in R /	2008
25	Environmental and ecological statistics with r /	2017
26	Environmental and ecological statistics with R /	2010
27	Getting started with R : an introduction for biologists /	2017
28	Getting started with R : an introduction for biologists /	2012
29	Ggplot2 : elegant graphics for data analysis /	2009
30	Ggplot2 essentials : explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs /	2015
31	Hands-on programming with R /	2014
32	Introduction to data science : data analysis and prediction algorithms with R /	2020
33	Introductory statistics with R /	2008
34	Learning R /	2013
35	Nonlinear regression with R /	2008
36	Nonparametric statistical methods using R /	2015
37	Parallel computing for data science : with examples in R, C++ and CUDA /	2016
38	R 4 quick syntax reference : a pocket guide to the language, API's and library /	2022
39	R cookbook /	2011
40	R for data science : import, tidy, transform, visualize, and model data /	2016
41	R for everyone : advanced analytics and graphics /	2017
42	R graphics cookbook /	2013
43	R in a nutshell /	2012
44	R in a nutshell /	2010
45	R in action : data analysis and graphics with R /	2011
46	R packages /	2015
47	R programming : a step-by-step guide for absolute beginners /	2019
48	Reproducible research with R and R Studio /	2014
49	Robust statistical methods with R /	2006
50	Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS /	2004

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