MVARTOOLS is a Matlab toolbox for doing multivariate analysis and calibration. It is distributed under the GNUGeneral Public License.

MVARTOOLS was made during my M.Sc. thesis work, but was not a part of the thesis. I made it just to familiarize myself with Matlab (and Octave), and to get a better understanding of the PCA, PCR and PLS algorithms. Since 2001, I have not done any development/bug fixing on MVARTOOLS. You have been warned!

MVARTOOLS is not a state-of-the-art industrial strength multivariate package. If that’s what you are looking for, I strongly recommend PLS_Toolbox.

CONTENTS

1. •Help and information:
   

2. -contents - package contents
   

3. -mvreadme - release notes
   

4. -mvchanges - changes since previous release
   

5. -mvwarranty - warranty information
   

6. -mvcopying - the GNU general public license
   

7. •Data Scaling and Preprocessing:
   

8. -mvcenter - mean centers the data in a row-wise matrix
   

9. -mvobjcenter - object centers a row-wise matrix
   

10. -mvrecenter - re-centers data in a row-wise matrix
    

11. -mvvarscale - scales the data in a matrix to unit variance
    

12. -mvrevarscale - rescales the data in a variance scaled matrix
    

13. -mvdelobjects - delete objects (rows) in a matrix
    

14. -mvmedsmooth - moving median smoothing
    

15. -mvmeansmooth - moving mean smoothing
    

16. -mvsavgol - Savitsky-Golay polynomial smoothing or derivation
    

17. -mvsnv - Standard Normal Variate normalisation
    

18. -mvdigfilt - 1st order digital filter
    

19. •NaN values:
    

20. -mvfindnan - find objects (rows) with non-numbers
    

21. -mvreplacenan - find and replace elements with non-numbers
    

22. -mvremnan - removes any rows in a matrix containing NaN
    

23. •Plotting:
    

24. -mvscoreplot - plot scores from PCA or PLS
    

25. -mvnumplot - plot with numbers as plot symbols
    

26. -mvstrplot - plot with text strings as plot symbols
    

27. -mvstatplot - plot mean spectrum, std and relative std
    

28. -mvpmplot - predicted vs. measured plot
    

29. -mvregplot - add legend with filename and date
    

30. -mvdensityplot - data density image plot
    

31. •Statistics:
    

32. -mvvariance - finds the variance of each column in a matrix
    

33. -mvpmstats - predicted/measured statistics
    

34. •Principal Components:
    

35. -mvpcanipals - NIPALS algorithm for Principal Component Analysis
    

36. -mvpcasvd - PCA using singular value decomposition
    

37. •Linear Regression:
    

38. -mvmlr - multiple linear regression
    

39. -mvpcrsvd - Principal Component Regression based on SVD
    

40. -mvplsnipals - Partial Least Squares regression using NIPALS
    

41. -mvplsnipcore - PLS NIPALS core
    

42. -mvplsregcoeff - Calculate PLSR regression coefficients
    

43. -mvrpls - Recursive Partial Least Squares regression
    

44. -mvpredict - predict y-values from linear multivariate model
    

45. -mvfullpredict - predict y-values from PLS loading weights
    

46. -mvoptlv - find optimal number of latent variables
    

47. •Validation:
    

48. -mvcrossval - cross validation (full, random, block)
    

49. -mvcvbyclass - cross validation by class belongings
    

50. -mvtestval - test-set validation of multivariate model
    

51. •Experimental design:
    

52. -mvffdesign - create two-level full/fractional factorial design matrix
    

53. •Spectroscopy:
    

54. -mvabstrans - Convert spectral absorbance data to transmittance
    

55. -mvtransabs - Convert spectral transmittance data to absorbance
    

56. -mvintf - calculates interference filter wavelength (and wavenumber)
    

57. -mvaddsine - adds a sine to the input data
    

58. -mvaddrandom - adds random noise to spectra
    

59. -mvaddnrandom - adds normally distributed random noise to spectra
    

60. -mvaddslope - add slope to spectrum
    

61. -mvaddoffset - add offset to spectrum
    

62. -mvaddmult - add multiplicative effect to spectrum
    

63. -mvwlshift - wavelength shift input spectrum
    

64. •Miscellaneous:
    

65. -mvmdist - mahalanobis distance
    

66. -mvedist - euclidian distance
    

67. -mvextractclass- extract X and y data for one specific class
    

68. -mvwritecals - write matrix to a CALS table
    

69. •Matlab/Octave compability:
    

70. -mvomtest - test whether the application is Octave or Matlab
    

71. •MVARTOOLS Test data-sets and demo-scripts:
    

72. -acoustics1 - acoustics data: spectra and concentration
    

73. -acoustics2 - acoustics data: spectra, concentration and temperature
    

74. -synthetic - synthetic data: three constituents in a closed data-set
    

75. -iris - the famous iris data-set
    

76. -distdata - data for testing distance measures (mahalanobis/euclidian)
    

77. -mvtest - script for testing all MVARTOOLS functions
    

78. -mvdemo1 - demo-script for doing PCA on the iris data-set
    

79. -mvdemo2 - demo script using PCR
    

80. -mvdemo3 - demo script using PLS
    

81. -mvdemo4 - demo script using factorial design
    

82. -mvdemo5 - demo script using cross- and testset validation
    

83. -mvdemo6 - demo script
    

84. -mvdemo7 - demo script
    

85. -mvdemo8 - demo script
    

86. -mvdemo9 - demo script
    

 

DOWNLOAD

mvartools_1.2.1.tar.gz

NO WARRANTY

Because the program is licensed free of charge, there is no warranty for the program, to the extent permitted by applicable law. Except when otherwise stated in writing the copyright holders and/or other parties provide the program “as is” without warranty of any kind, either expressed or implied, including, but not limited to, the implied warranties of merchantability and fitness for a particular purpose. The entire risk as to the quality and performance of the program is with you. Should the program prove defective, you assume the cost of all necessary servicing, repair or correction.

In no event unless required by applicable law or agreed to in writing will any copyright holder, or any other party who may modify and/or redistribute the program as permitted above, be liable to you for damages, including any general, special, incidental or consequential damages arising out of the use or inability to use the program (including but not limited to loss of data or data being rendered inaccurate or losses sustained by you or third parties or a failure of the program to operate with any other programs), even if such holder or other party has been advised of the possibility of such damages.