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2015 | OriginalPaper | Buchkapitel

2. An Introduction to R for Quality Control

verfasst von : Emilio L. Cano, Javier M. Moguerza, Mariano Prieto Corcoba

Erschienen in: Quality Control with R

Verlag: Springer International Publishing

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Abstract

This chapter introduces R as statistical software and programming language for quality control. The chapter is organized as a kind of tutorial with lots of examples ready to be run by the reader. Moreover, the code is available at the book’s companion website. Even though the RStudio interface is also introduced in the chapter, any other user interface can be used, including the R default GUI and code editor.

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Fußnoten
3
Please note that sometimes what you paste could not be exactly what you see in the book and some modifications could be needed.
 
8
Escaping means to provide a character string with special characters. For example, ∖n is for the special character new line.
 
10
The version used while writing this book was 0.99.xxx.
 
11
It can be changed through the Tools > Global options menu.
 
12
This means that only the first letters of the argument name can be provided. We do not recommend that, though.
 
13
This function returns the structure of any R object.
 
14
Pressing the F1 key when the cursor is in a function name also works.
 
15
In this case not all the code is shown because seq is a built-in, compiled function.
 
16
The scan function also accepts arguments to scan data from files and text, check the function documentation.
 
17
Note that the output might have more elements if further objects were created beforehand.
 
18
The sum function will be explained later.
 
19
We use the paste function to get a sequence of character strings, see Appendix C to see more functions to work with strings.
 
20
We first fix the seed in order to make the example reproducible.
 
21
We use a different URL within the download.file function as it fails in redirecting URLs.
 
Literatur
6.
Zurück zum Zitat Chambers, J.M.: Software for data analysis. In: Programming with R. Statistics and Computing. Springer, Berlin (2008)CrossRefMATH Chambers, J.M.: Software for data analysis. In: Programming with R. Statistics and Computing. Springer, Berlin (2008)CrossRefMATH
8.
Zurück zum Zitat Ciupke, K.: Multivariate process capability vector based on one-sided model. Qual. Reliab. Eng. Int. (2014). doi:10.1002/qre.1590. R package version 1.1 Ciupke, K.: Multivariate process capability vector based on one-sided model. Qual. Reliab. Eng. Int. (2014). doi:10.​1002/​qre.​1590. R package version 1.1
10.
Zurück zum Zitat Dodge, H., Romig, H.: Sampling Inspection Tables, Single and Double Sampling. Wiley, New York (1959)MATH Dodge, H., Romig, H.: Sampling Inspection Tables, Single and Double Sampling. Wiley, New York (1959)MATH
17.
Zurück zum Zitat ISO TC154 – Processes, Data Elements and Documents in Commerce, Industry and Administration: ISO 8601 Data Elements and Interchange Formats – Information Interchange – Representation of Dates and Times. ISO – International Organization for Standardization (2004) ISO TC154 – Processes, Data Elements and Documents in Commerce, Industry and Administration: ISO 8601 Data Elements and Interchange Formats – Information Interchange – Representation of Dates and Times. ISO – International Organization for Standardization (2004)
24.
Zurück zum Zitat Murrell, P.: R Graphics, 2nd edn. Chapman & HallCRC, Boca Raton (2011)MATH Murrell, P.: R Graphics, 2nd edn. Chapman & HallCRC, Boca Raton (2011)MATH
34.
Zurück zum Zitat Shewhart, W.: Economic Control of Quality in Manufactured Products. Van Nostrom, New York (1931) Shewhart, W.: Economic Control of Quality in Manufactured Products. Van Nostrom, New York (1931)
36.
Zurück zum Zitat Wickham, H.: ggplot2: elegant graphics for data analysis. In: Use R! Springer, Berlin (2009) Wickham, H.: ggplot2: elegant graphics for data analysis. In: Use R! Springer, Berlin (2009)
Metadaten
Titel
An Introduction to R for Quality Control
verfasst von
Emilio L. Cano
Javier M. Moguerza
Mariano Prieto Corcoba
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-24046-6_2