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Poptool : Demo Files
項目 | 説明 |
Analysis of a projection matrix | Calculation of rate of increase, age structure, reproductive value and generation times |
Randomisation test (two sample) | How to conduct a simple randomisation test |
Randomisation test (distance matrix) | How to conduct a randomisation test on distance matrices (Mantel test) |
Bootstrap | How to bootstrap confidence limits |
Bias corrected percentiles | How to calculate bias corrected percentile confidence limits |
Correlated variables | How to generate a sequence of correlated random variables |
Fit parameters | Fit parameters by maximum likelihood |
Covariance matrix | Some different ways to compute a variance-covariance matrix for a data matrix of species abundance within plotsv |
Gtest | Calculation of G - statistic |
Jolly | Jolly-Seber estimate of abundance in quadrats or transects |
Likelihood | Likelihoods for various error structures |
Likelihood profile | Calculation of a likelihood profile |
Jackknife | How to compute Jackknife statistics in Excel |
Mantel test | How to use the MANTEL worksheet function |
Matrix decompositions | Demo of matrix decompositions - LU, QR, SVD, Cholesky |
Matrix projection | Different ways to project with matrices |
Numerical projection | Simulation of a discrete time process (deterministic) |
Numerical projection (stochastic) | Simulation of a discrete time process (stochastic) |
ODE integration | How to use the ODEIntegrate function to integrate a system of ordinary differential equations |
PBLR test | Calculation of the parametric bootstrap likelihood ratio (PBLR) test for density-dependence in a time series |
Ordination | Ordination using principal components analysis and correspondence analysis. General ordination using matrix algebra. |
Pollard's test | Calculation of the test of Pollard, E., Lakhani, K. H. & Rothery, P. (1987) for density-dependence in a time series |
Power analysis | How to do a power analysis by simulation |
Random variables (general) | Generation of random variables using PopTools |
Random variables (fast) | More information on generation of random variables using PopTools |
Resampling | More information on the routines for shuffling and resampling from data matrices |
Sensitivity-Elasticity | Numerical sensitivity analysis of "any" model. Sensitivity and elasticity for matrix models |
Singular value decomp | Demonstration of singular value decomposition |
Solve linear system | SVD/QR, MatInv 関数を使って線形一次方程式を解く。 |
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Update : 2006/09/26
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