nir-quimiometria.blogspot.com

NIR-Quimiometria

Intercorrelation between constituents and wavelengths. In the post "Linear Combinations to improve correlation". We selected three wavelengths where normally we found overtones for Protein, Fat and Fiber (Cellulose), and we found a linear combination of these three wavelengths to improve the correlation with the Protein constituent. Constituents -Y[complete.cases(Y),]. Protein Moisture Fiber Fat Protein 1.0000000 0.15406257 -0.83770097. 1022nm datapoint 87 Protein or Oil. 1008nm datapoint 80 Oil or Water.

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Intercorrelation between constituents and wavelengths. In the post Linear Combinations to improve correlation. We selected three wavelengths where normally we found overtones for Protein, Fat and Fiber (Cellulose), and we found a linear combination of these three wavelengths to improve the correlation with the Protein constituent. Constituents -Y[complete.cases(Y),]. Protein Moisture Fiber Fat Protein 1.0000000 0.15406257 -0.83770097. 1022nm datapoint 87 Protein or Oil. 1008nm datapoint 80 Oil or Water.

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1 páginas

2 nir / quimiometría

3 r and chemometrics

4 software tips

5 aplications

6 fundamentos

7 cor constituents

8 ylab= 902 nm fibre

9 publicado por

10 josé ramón cuesta

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NIR-Quimiometria | nir-quimiometria.blogspot.com Reviews

https://nir-quimiometria.blogspot.com

Intercorrelation between constituents and wavelengths. In the post "Linear Combinations to improve correlation". We selected three wavelengths where normally we found overtones for Protein, Fat and Fiber (Cellulose), and we found a linear combination of these three wavelengths to improve the correlation with the Protein constituent. Constituents -Y[complete.cases(Y),]. Protein Moisture Fiber Fat Protein 1.0000000 0.15406257 -0.83770097. 1022nm datapoint 87 Protein or Oil. 1008nm datapoint 80 Oil or Water.

INTERNAL PAGES

nir-quimiometria.blogspot.com

1

NIR-Quimiometria: Matrices

http://nir-quimiometria.blogspot.com/p/matrices.html

Matrices con "R" :. Trabajando con matrices parte 1. Trabajando con matrices parte 2. Matrices con "Excel" :. Walter Lewin (MIT) nos da una clase sobre las operaciones con vectores (suma, resta, multiplicación). Llamaremos "escalar" a un número que puede ser entero, decimal, exponencial,. Ejemplo: 12 3,63 2 x 10. Un vector es una serie de "escalares" expresados en una fila o en una columna. Lo representaremos por una letra minúscula en negrita:. En este caso lo hemos realizado en una fila). En un espacio...

2

NIR-Quimiometria: julio 2015

http://nir-quimiometria.blogspot.com/2015_07_01_archive.html

30 jul. 2015. Artificial Check Cells (DS2500 and DA1650). In order to have a stable check cell over time, manufacturers prepare samples more stable, but at the same time th e. Se samples are predicted by a model, and normally this model is not a robust one, so it is sensible to temperature, stabilization of the instrument, laboratory and instrument conditions. The Distance value uses a formula, which contains 5 different properties of the average spectra. Enviar por correo electrónico. 22 jul. 2015.

3

NIR-Quimiometria: MD Looking to the subsamples statistics

http://nir-quimiometria.blogspot.com/2015/05/md-looking-to-subsamples-statistics.html

20 may. 2015. MD Looking to the subsamples statistics. Suppose the case of a large cup where we acquire 32 scans. The cup stop in 8 different positions to scan the sample, so we have 8 subsamples with 4 scans each. Lower numbers of scans mean a noisier spectrum, so the Mahalanobis distance will be normally higher in all the subsamples (independently) than the Mahalanobis distance of the 32 scans average spectrum. Enviar por correo electrónico. Publicar un comentario en la entrada. Search in this Blog.

4

NIR-Quimiometria: "Software" tips

http://nir-quimiometria.blogspot.com/p/software-tips.html

Looking to the Histograms. MONITOR: Predicted vs. Reference. Create Variable and values". How to create a Lab file in Win ISI". Exporting from Win ISI / Importing into R. Preparing spectrum to import into R package ChemoSpec. Making things easier: Regression coefficients. LOCAL Equations with Win ISI 4 (Part: 1). LOCAL en Win ISI 4 (Part 2): "Monitor". LOCAL: Creating the RED files. Exporting form ISI Scan to LIMS". How to apply discriminant analysis in ISI Scan 4.xx. The need for an integrated solution.

5

NIR-Quimiometria: How to import a TXT spectra file into Win ISI

http://nir-quimiometria.blogspot.com/2015/06/how-to-import-txt-spectra-file-into-win.html

22 jun. 2015. How to import a TXT spectra file into Win ISI. I use in this case the Gasoline spectra from R chemometric package PLS. Now I open in Win ISI the Convert Tool. I select the file gasoline5.txt, and I put the output format in Win ISI. Answer if sample numbers are in the text file.YES. Answer if there are constituents and the number.In this case 0. Answer the total number of data points in the spectra.401. Answer the number of Segments of the Spectra:. In this case I select two:.

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NIR-Quimiometria

Intercorrelation between constituents and wavelengths. In the post "Linear Combinations to improve correlation". We selected three wavelengths where normally we found overtones for Protein, Fat and Fiber (Cellulose), and we found a linear combination of these three wavelengths to improve the correlation with the Protein constituent. Constituents -Y[complete.cases(Y),]. Protein Moisture Fiber Fat Protein 1.0000000 0.15406257 -0.83770097. 1022nm datapoint 87 Protein or Oil. 1008nm datapoint 80 Oil or Water.

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