Man pages for pwr4exp
Power Analysis for Research Experiments
| contrast1D | Computes power of t-test for one-dimensional contrast... |
| contrastMD | Computes power of F-test for multi-dimensional contrast... |
| corAR1 | AR(1) Correlation Structure |
| corARMA | ARMA(p,q) Correlation Structure |
| corCAR1 | Continuous AR(1) Correlation Structure |
| corClasses | Correlation Structure Classes |
| corCompSymm | Compound Symmetry Correlation Structure |
| corExp | Exponential Correlation Structure |
| corGaus | Gaussian Correlation Structure |
| corLin | Linear Correlation Structure |
| corRatio | Rational Quadratics Correlation Structure |
| corSpher | Spherical Correlation Structure |
| corSymm | General Correlation Structure |
| create_designs | Creation of Standard Experimental Designs |
| df.cod | Create a data frame for Crossover design |
| df.crd | Create a data frame of completely randomized design |
| df.lsd | Create a data frame for Latin square design |
| df.rcbd | Create a data frame of randomized complete block design |
| df.spd | Create data frame for split-plot design |
| expandDoubleVerts | Expand terms with "||" notation into separate "|" terms |
| factorize | Convert variables to factors as necessary |
| findbars | Determine random-effects expressions from a formula |
| milk | An exemplary dataset of a 4x4 crossover design with 2 squares |
| mkdesign | Create a Design Object for Power Calculation |
| mkReTrms | Design Matrices and Variance Components for Random Effects |
| mkRTrms | Residual Variance-Covariance Matrices |
| mkStruct | Building Design Matrices and Covariance Structures for Linear... |
| nobars | Omit terms separated by vertical bars in a formula |
| pwr.anova | Power of omnibus tests |
| pwr.contrast | Power of contrasts |
| pwr.summary | Power for model coefficients |
| subbars | Substitute Bars |
