SixSigma

SixSigma 0.10.3

• Fix more moved urls in documentation

SixSigma 0.10.2

• Fix moved urls in documentation (.rd files)
• Fix example of ss.heli() (avoid generate pdf on checks)

SixSigma 0.10.1

• Fix moved urls in documentation

SixSigma 0.10.0

• Fix #9
• Fix #10. ss.rr gains an argument signifstars that avoids overwriting the global option. FALSE by default.
• NEWS -> NEWS.md
• Documentation with pkgdown at http://emilopezcano.github.io/SixSigma/

SixSigma 0.9-58

• Remove dependency on qcc
• Update documentation
• Fix testing issues

SixSigma 0.9-57

• Fix bug on ss.rr when no variation (with thanks to Gilles Chassat)

SixSigma 0.9-56

• Fix bug on ss.cc when plotting MR control chart (with thanks to Jl Z)

SixSigma 0.9-55

• Allow not to print plots (ss.rr)

SixSigma 0.9-54

• Allow nested designs in R&R Gage studies (ss.rr)

SixSigma 0.9-53

• Add option f.colours to ss.study.ca

SixSigma 0.9-52

• Fix bug on computation of Z_lt
• Improve graphical output of ss.study.ca (remove “NA” strings)

SixSigma 0.9-5

• Include ISBNs in the DESCRIPTION file

SixSigma 0.9-4

• Avoid rounding of variance component to zero in ss.rr function
• Correct %Tolerance column in R&R study (ss.rr function)
• Show %Tolerance in the output of the ss.rr function

SixSigma 0.9-3

• Fix stray reference in the package manual

SixSigma 0.9-3

• Improvements in function ss.rr: allow arguments errorTerm and alphaLim; changes in computations for compliance with AIAG MSA.
• By default, error term in ANOVA table of ss.rr is interaction, so results with the default values may differ from the ones obtained in previous versions
• Default value of sigma in ss.rr is 6 instead of 5.15
• Control limits of the range control chart in ss.rr are now correctly computed
• Add profiles examples to package help file

SixSigma 0.9-2

• Fix all issues and warnings with ggplot2

SixSigma 0.9-1

• ss.study.ca: fix issue and warning with ggplot2
• ss.rr: allow character strings as input

SixSigma 0.9-0

• Functions for monitoring non-linear profiles
• Data sets for the example in the book “Quality Control with R”
• Some bug fixes

SixSigma 0.8-2

• Fixed hard-coded axis limits and positions in ss.study.ca
• CRAN policy fixes

SixSigma 0.8-1

• Fixed NOTES not accepted by CRAN CHECK

SixSigma 0.8-0

• Function ss.rr now allows one single appraiser
• Function ss.rr now accepts the sigma level and tolerance. Thanks Kevin C Limburg for suggesting and contributing with the code
• Adapted DESCRIPTION and NAMESPACE file to CRAN policies
• Removed welcome messages when loading package

SixSigma 0.7-2 (not uploaded to CRAN)

• Fixed bug on ss.cc when passing climits argument

SixSigma 0.7-1

• Fixed roxygen code to allow example(SixSigma) to work

SixSigma 0.7-0

• New function ss.cc for control charts (currently supporting moving-range control chart)
• roxygen2 documentation
• Updated URL in DESCRIPTION
• Added compatibility with R-2.14.2
• Fixed Encoding field in DESCRIPTION

SixSigma 0.6.3

• Fixed encoding field in DESCRIPTION
• ggplot2 0.9.2 compatibility implemented

SixSigma 0.6.2

• Bug fixed in ss.lfa function (thanks to Sanjay Shinde for reporting)
• ggplot2 0.9.2 compatibility update
• NEWS file format fixed
• Code tests implemented (ss.lfa)

SixSigma 0.6.1

• New dataset (ss.data.batteries)
• New and updated references in help files
• Now function ss.lfa (loss function analysis) allows smaller-the-better and larger-the-better CTQs, besides nominal-the-best

SixSigma 0.6.0

• New datasets (ss.data.doe1, ss.data.doe2, ss.data.pb1, ss.data.pb2, ss.data.pb3, ss.data.pb4) for running examples in book “Six Sigma with R”.
• Minor modifications for ggplot2 0.9.0 compatibility

SixSigma 0.5.0

• Improvements to ss.ci function: density line, normal qq-plot, warnings when normality test fails
• Improvements to capability analysis functions (ss.stuty.ca, ss.cp, ss.cpk), warnings and bug corrections
• New function ss.cc.getc4 to compute constant c4 for the unbiased estimator of the standard deviation.
• New functions ss.cc.getd2 and ss.cc.getd3 to compute mean and variance of the relative range distribution (R/sigma)
• New dataframes ss.data.pc, ss.data.pc.big and ss.data.pc.r
• New dataframe ss.data.strings
• Now ss.rr function uses the new functions ss.cc.getd2 and ss.cc.getd3 to calculate control limits.