#
Statistics -- Data processing
Resource Information
The concept ** Statistics -- Data processing** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

The Resource
Statistics -- Data processing
Resource Information

The concept

**Statistics -- Data processing**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
- Statistics -- Data processing

## Context

Context of Statistics -- Data processing#### Subject of

- 25 recipes for getting started with R
- A computer-assisted approach to elementary statistics ; : examples and problems
- A recipe for success using SAS University Edition : how to plan your first analytics project
- A relational join procedure as an addition to SAS : the statistical analysis system
- A specification system for statistical software
- APL-STAT : do-it-yourself guide to computational statistics using APL
- Access : analiza danych : receptury
- Access data analysis cookbook
- Allocating research resources : the role of a data management core unit
- An introduction to SAS® university edition
- Applications, basics, and computing of exploratory data analysis
- Applied statistics : a handbook of Genstat analyses
- Applied statistics with SPSS
- Basic Fortran for statistical analysis
- Basic statistics for business and economics : a computer-oriented text
- Beginning R : an introduction to statistical programming
- Beginning R : an introduction to statistical programming
- Beginning R : the statistical programming language
- Beginning R : the statistical programming language : programming & software development
- C++ programming with applications in administration, finance, and statistics
- Computational aspects of survey data processing
- Computational methods in statistics and econometrics
- Computational statistics
- Computer modeling for business and industry
- Computer usage for social scientists
- Computerized economic analysis
- Computing in statistical science through APL
- Data Manipulation with R : perform group-wise data manipulation and deal with large datasets using R efficiently and effectively
- Data analysis and graphics using R : an example-based approach
- Data analysis and graphics using R : an example-based approach
- Data analysis and graphics using R : an example-based approach
- Data analysis of asymmetric structures : advanced approaches in computational statistics
- Data analysis using Stata
- Data analysis using stata
- Data analytics with R Shiny
- Data entry without keypunching : improved preparation for social-data analysis
- Data manipulation with R : efficiently perform data manipulation using the split-apply-combine strategy in R
- Data mining with SPSS
- Data science in R : a case studies approach to computational reasoning and problem solving
- Data scientists at work
- Developing credit risk models using SAS Enterprise Miner and SAS/STAT : theory and applications
- Developing statistical software in Fortran 95
- Digital diagrams
- Diversity heuristic
- Dynamic Documents with R and knitr, Second Edition
- Elementary statistics for IBM PCs
- Elements of computational statistics
- Essential statistics using SAS university edition
- Exploring everyday things with R and Ruby
- Extending the S system
- Fortran programs for economists
- Genstat 5 release 3 reference manual
- Getting started with RStudio
- Gnuplot in action : understanding data with graphs
- Gnuplot in action : understanding data with graphs
- Guide to SAS/DB2
- Handbook of statistical procedures and their computer applications to education and the behavioral sciences
- Intermediate statistical methods and applications : a computer package approach
- Introduction to SAS University edition
- Introduction to STARPAC : the Standards Time Series and Regression Package
- Introduction to business statistics : a computer integrated approach
- Introduction to machine learning with R : rigorous mathematical analysis
- Introduction to statistical computer packages
- Introduction to statistical data processing
- Introductory statistics with R
- Learning R
- Learning, networks and statistics
- Mastering data analysis with R : gain clear insights into your data and solve real-world data science problems with R - from data munging to modeling and visualization
- Mathematical statistics with resampling and R
- Minitab Cookbook
- Minitab computer supplement to accompany James T. McClave and P. George Benson's Statistics for business and economics, sixth edition
- Minitab handbook
- Modern R programming cookbook : recipes to simplify your statistical applications
- Modern applied statistics with S
- Modern applied statistics with S-Plus
- Nonlinear least squares regression using STARPAC : the Standards Time Series and Regression Package
- Numerical issues in statistical computing for the social scientist
- P-CARES : probabilistic computer analysis for rapid evaluation of structures
- Pattern recognition approach to data interpretation
- Predictive modeling with SAS Enterprise Miner : practical solutions for business applications
- Predictive modeling with SAS Enterprise Miner : practical solutions for business applications, second edition
- Programming the statistical library
- R Data Analysis Projects
- R Data Mining
- R Data Visualization Recipes
- R Graph essentials : use R's powerful graphing capabilities to design and create professional-level graphics
- R Graphics Cookbook, 2nd Edition
- R Programming By Example
- R Projects for dummies
- R cookbook
- R for everyone : advanced analytics and graphics
- R graphics cookbook : practical recipes for visualizing data
- R in action : data analysis and graphics with R
- R statistics cookbook : over 100 recipes for performing complex statistical operations with R 3.5
- S : an interactive environment for data analysis and graphics
- SAS applications programming : a gentle introduction
- SAS essentials for statistics
- SAS introductory guide
- SAS supplemental library user's guide
- SAS user's guide : basics
- SAS/Graph User's Guide : 1981 edition
- SAS/STAT user's guide : version 6
- SPSS regression models 12.0
- Scala Data Analysis Cookbook
- Statistical analysis and data display : an intermediate course with examples in S-plus, R, and SAS
- Statistical analysis using SPSS at the USDA-Fort Collins Computer Center
- Statistical analysis with Excel for dummies
- Statistical analysis with Excel for dummies
- Statistical analysis with Excel for dummies
- Statistical analysis with R
- Statistical analysis with R : beginner's guide : take control of your data and produce superior statistical analyses with R
- Statistical application development with R and Python : power of statistics using R and Python
- Statistical computation; proceedings
- Statistical computations on a digital computer
- Statistical programming With SAS/IML software
- Statistical programming in SAS
- Statistics at your fingertips
- Statistics for Data Science
- Statistics with Microsoft Excel
- Statistics with R : a beginner's guide
- Statistik mit R : eine praxisorientierte Einführung in R
- Stories in the spirit of precision journalism
- Symmetry studies : an introduction to the analysis of structured data in applications
- The P-STAT user's manual : version 8
- The art of R programming : tour of statistical software design
- The book of R : a first course in programming and statistics
- The workflow of data analysis using Stata
- Understanding and learning statistics by computer
- Using R for introductory statistics
- Using R for statistics
- What's new in SAS 9.3

## Embed (Experimental)

### Settings

Select options that apply then copy and paste the RDF/HTML data fragment to include in your application

Embed this data in a secure (HTTPS) page:

Layout options:

Include data citation:

<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/JQqUC_FwUdk/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/JQqUC_FwUdk/">Statistics -- Data processing</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>

Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements

### Preview

## Cite Data - Experimental

### Data Citation of the Concept Statistics -- Data processing

Copy and paste the following RDF/HTML data fragment to cite this resource

`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/resource/JQqUC_FwUdk/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/resource/JQqUC_FwUdk/">Statistics -- Data processing</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>`