Search results
Results from the WOW.Com Content Network
A biplot is constructed by using the singular value decomposition (SVD) to obtain a low-rank approximation to a transformed version of the data matrix X, whose n rows are the samples (also called the cases, or objects), and whose p columns are the variables.
Biplot of the Principal components analysis of Anderson's Iris data set. The SVG was created with R's biplot function using the CairoSVG device of the Cairo R package: Date: 24 September 2008: Source: I created this work entirely by myself. Author: Calimo: SVG development
Correspondence analysis (CA) is a multivariate statistical technique proposed [1] by Herman Otto Hartley (Hirschfeld) [2] and later developed by Jean-Paul Benzécri. [3] It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.
What links here; Upload file; Special pages; Printable version; Page information; Get shortened URL; Download QR code
A generalised biplot displays information on both continuous and categorical variables. Bland–Altman plot : In analytical chemistry and biostatistics this plot is a method of data plotting used in analysing the agreement between two different assays .
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.
Pages for logged out editors learn more. Contributions; Talk; Bi-plot
A sample scree plot produced in R.The Kaiser criterion is shown in red.. In multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. [1]