Calculating a correlation matrix Calculating a covariance matrix Inferences about association Study design Principal component analysis (PCA) Factor analysis (FA) Item reliability Fit model Method comparison / Agreement Measurement systems analysis (MSA) Reference interval Diagnostic performance Survival/Reliability Control charts...
The magnitude of the standard error of a difference for the LsMeans, the divisor to compute pvalues and form confidence intervals, depends on the choice of a repeated measures covariance matrix or effects treated as random. If only a subset of all possible comparisons is needed, the LSM...
Figure 8.Covariance matrix plot for selected tech stocks. 5. Time-dependent plots for studying trends Figure 9.Tesla stock price for first 16 days in April 2021. 6. Pie chart for displaying proportions Figure 10.Pie Chart showing various asset classes in a portfolio. Summary Most data science...
the error information of a satellite clock, the error information on the ground station clock, based on the observational data, calculates the estimate of ambiguity between the GPS satellite and the ground station, and outputs a covariance matrix produced by combining these estimates to a correlation...
A correlation plot may also be produced from a matrix: M=randn(1000,4) M[:,2].+=0.8sqrt.(abs.(M[:,1])).-0.5M[:,3].+5M[:,3].-=0.7M[:,1].^2.+2corrplot(M, label=["x$i"fori=1:4]) cornerplot(M) cornerplot(M, compact=true) ...