'1st qu' diaporamas de présentation

Ctd . Local Linear Models, LDA ( cf. PCA,FA) , Mixed Models: Optimizing, Iterating

770 views • 68 slides

Multivariate Analysis and Discrimination

Multivariate Analysis and Discrimination. EPP 245 Statistical Analysis of Laboratory Data. Cystic Fibrosis Data Set. The 'cystfibr' data frame has 25 rows and 10 columns. It contains lung function data for cystic fibrosis patients (7-23 years old)

581 views • 49 slides

Inequality in Latin America

Inequality in Latin America. Joshua Winter | Statistical Computing | April 13, 2018. Background. Latin America is a vital part of the world economy responsible for producing numerous products essential to our everyday lives such as textiles, food and agriculture, and natural resources.

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Analysis of Affymetrix GeneChip Data

Analysis of Affymetrix GeneChip Data. EPP 245/298 Statistical Analysis of Laboratory Data. Basic Design of Expression Arrays. For each gene that is a target for the array, we have a known DNA sequence.

489 views • 31 slides

Multivariate Analysis and Discrimination

Multivariate Analysis and Discrimination. EPP 245/298 Statistical Analysis of Laboratory Data. Cystic Fibrosis Data Set. The 'cystfibr' data frame has 25 rows and 10 columns. It contains lung function data for cystic fibrosis patients (7-23 years old)

403 views • 28 slides

Lecture 6 Generalized Linear Models

Advanced Research Skills. Lecture 6 Generalized Linear Models. Olivier MISSA, om502@york.ac.uk. Outline. Continue exploring options available when assumptions of classical linear models are untenable.

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K-Means Lab

K-Means Lab. Start with 1D Data. # input data: https://cse.sc.edu/~rose/587/CSV/state_income.csv # 1) use wget to copy the dataset to the vm # 2) use GUI import from Text ( b ase ) to import state_income.csv #Sort data tmp = sort(state_income$V2 ) #Visualize data plot( tmp )

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a lkfos PCA

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> xyplot(cat~time|id,dd,groups=ses,lty=1:3,type="l")

> xyplot(cat~time|id,dd,groups=ses,lty=1:3,type="l") > dd<-read.csv("c:\minna\longitudinal\comp.csv") > head(dd) id ses cat pre post time 1 430 1 6 21 0 1 2 430 1 6 21 0 2 3 430 1 6 21 0 3 4 430 1 6 21 0 4 5 430 1 6 21 0 5

138 views • 5 slides