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Title : Demo Files
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Poptool : Demo Files

項目説明
Analysis of a projection matrixCalculation 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)
BootstrapHow to bootstrap confidence limits
Bias corrected percentilesHow to calculate bias corrected percentile confidence limits
Correlated variablesHow to generate a sequence of correlated random variables
Fit parametersFit parameters by maximum likelihood
Covariance matrixSome different ways to compute a variance-covariance matrix for a data matrix of species abundance within plotsv
GtestCalculation of G - statistic
JollyJolly-Seber estimate of abundance in quadrats or transects
LikelihoodLikelihoods for various error structures
Likelihood profileCalculation of a likelihood profile
JackknifeHow to compute Jackknife statistics in Excel
Mantel testHow to use the MANTEL worksheet function
Matrix decompositionsDemo of matrix decompositions - LU, QR, SVD, Cholesky
Matrix projectionDifferent ways to project with matrices
Numerical projectionSimulation of a discrete time process (deterministic)
Numerical projection (stochastic)Simulation of a discrete time process (stochastic)
ODE integrationHow to use the ODEIntegrate function to integrate a system of ordinary differential equations
PBLR testCalculation of the parametric bootstrap likelihood ratio (PBLR) test for density-dependence in a time series
OrdinationOrdination using principal components analysis and correspondence analysis. General ordination using matrix algebra.
Pollard's testCalculation of the test of Pollard, E., Lakhani, K. H. & Rothery, P. (1987) for density-dependence in a time series
Power analysisHow 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
ResamplingMore information on the routines for shuffling and resampling from data matrices
Sensitivity-ElasticityNumerical sensitivity analysis of "any" model. Sensitivity and elasticity for matrix models
Singular value decompDemonstration of singular value decomposition
Solve linear systemSVD/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