The result of hierarchical clustering is a tree-based representation of the objects, which is also known as dendrogram. Observations can be subdivided into groups by cutting the dendrogram at a desired similarity level. Computation: R function:hclust(). It takes a dissimilarity matrix as an input...
Introduces the key concepts in the analysis of categoricaldata with illustrative examples and accompanying R code This book is aimed at all those who wish to discover how to analyze categorical data without getting immersed in complicated mathematics and without needing to wade through a large amount...
The previous R code saved the coefficient estimates, standard errors, t-values, and p-values in a typical matrix format.Now, we can apply any matrix manipulation to our matrix of coefficients that we want. For instance, we may extract only the coefficient estimates by subsetting our matrix:...
4. Analysis workflow This analysis example consists of a simple workflow where event selection is run first and its output serve as an input for the statistical analysis. We shall use the Yadage workflow engine to express the computational steps in a declarative manner: The full analysis pipeline...
number each peak region with thebwlabelcommand. These regions were segmented by thresholding withim2bw. The threshold value was automatically determined by statistical properties of the data usinggraythresh. This is a good example of image processing techniques are often useful for 1...
Making R code a bit faster with byte code compilation Just-in-time (JIT) compilation of R code Using memoization or cache layers Improving our data and memory management Using specialized packages for performance Flexibility and power with cloud computing Specialized R distributions Summary Adding Inte...
The header graphic of this page shows a heteroscedastic relation between two variables.Do you want to know how to create such a plot? Here’s the R code.# Create some data n <- 1:3000 a <- 0 b <- 1 sigma2 <- n^1.9 eps <- rnorm(n, mean = 0, sd = sqrt(sigma2)) y <-...
Journal of Racial and Ethnic Health Disparities https://doi.org/10.1007/s40615-024-02117-7 Neighborhood Diversity Is Good for Your Health: An Example of Racial/ Ethnic Integration and Preterm Birth in Texas Shetal Vohra‑Gupta1 · Bethany M. Wood2 · ...
This section begins with an overview of VEC model estimation. Then, the section shows how to do these tasks: Choose appropriate values for non-estimable VEC model parameters. Non-estimable VEC model parameters include the lag length P, the cointegrating rank r, and the deterministic terms present...
•text: character string: if file is not supplied and this is, then data are read from the value of text via a text connection. Notice that a literal string can be used to include (small) data sets within R code. Following is a csv file example "tp.csv ...