- " -

" is not a valid floating point value

- . -

.csv

.xls

.xlsx

- A -

abundance data

Access Violation error

add annotation

Add grid

Add legend

Add stalk

agglomerative clustering

IconCluster analysis
IconClustering
IconWard’s
IconSingle linkage
IconComplete linkage
IconAverage linkage
IconMcQuitty’s
IconGower’s
IconCentroid

agglomerative clustering methods

allocate

allocating

Analysis of Similarity

annotations

ANOSIM

IconGroups Tests
IconAnalysis of Similarity (ANOSIM)

apply transformations

IconThe working data 
IconData transformations

arch effect

arcsine

ascii

assigning

association analysis

average

IconData set statistics
IconAverage

average linkage

axes

IconMultivariate analysis
IconPrincipal Component Analysis (PCA)

axis

IconPrincipal Component Analysis (PCA)
IconPrincipal Component Analysis - PCA

axis vs variable plot

- B -

Bartlett's test

base10

Beals

between-group covariance

binary

binary data

IconSimilarity and Distance Measures
IconAssociation analysis

biplot

bitmap

IconExporting and copying charts
IconExporting dendrograms

bmp

borderline groups

IconSite summary 
IconVariables summary

bray-curtis

Bray-Curtis similarity

bubble plot

IconImprovements implemented in CAP 5.0
IconMDS plots

- C -

Canberra

canonical correlation

canonical variates analysis

IconDiscriminant Analysis
IconGroups Tests
IconDiscriminant Analysis

cell contents

centroid

IconCluster analysis
IconCentroid

centroids

Change between colour/grey scale

change cell content

change chart theme

change data

IconThe working data 
IconData transformations

change groups

change order of chart groups

Change symbol set

characteristics

Chart

chart export

chart format

chart options

chart themes

chart titles

chart tools

charts

IconExporting and copying charts
IconPreparing charts for output - Chart Tools

Chi-squared

IconReciprocal Averaging - RA
IconAssociation analysis

choose data

choose demo data set

chrod

cicada songs

citation

classification

IconCluster analysis
IconMultivariate analysis

classification table

classifying

clipboard

cluster analysis

IconCluster analysis
IconClustering
IconAgglomerative cluster analysis
IconWard’s
IconSingle linkage
IconComplete linkage
IconAverage linkage
IconMcQuitty’s
IconGower’s
IconCentroid
IconDendrogram - Cluster analysis
IconCluster summary
IconDivisive cluster analysis

cluster dendrogram

IconClustering
IconDendrogram - Cluster analysis
IconEdit Dendrogram

cluster group membership

cluster groups

IconCluster groups
IconCluster summary
IconCluster Groups

cluster plot

cluster summary

IconCluster summary
IconCluster Summary

clustering

clustering results

clustering setup

IconAgglomerative cluster analysis
IconDivisive cluster analysis

clusters of points

coefficients

IconDiscriminant Function Coefficients
IconFisher's Discriminant Functions

colour palette

colours

column statistics

column title

column titles

columns

IconOrganising your data for analysis
IconRelativisations
IconDealing with zeros or sparse data
IconTransposing data

common errors

community structure

IconIntroduction to CAP
IconMultivariate analysis

compare groups

compare samples

IconCompare
IconCompare samples
IconMatrix Plot

compare variables

IconScatter Plot
IconMatrix Plot

comparisons

complete linkage

computations

IconComputations - DECORANA
IconComputations - Reciprocal Averaging

constant

contact pisces

Copy

IconCopying and pasting data
IconExporting and copying charts
IconExporting dendrograms
IconEditing charts

copy dendrogram

IconEditing TWINSPAN Dendrograms
IconEdit Dendrogram

copying

correlation

IconPrincipal Component Analysis (PCA)
IconPrincipal Component Analysis - PCA
IconVariance
IconViewing the correlation between variables (species)
IconCross products

correlation between variables

correspondence analysis

IconDetrended Correspondence Analysis - DECORANA
IconComputations - DECORANA
IconSpecies Scores - DECORANA
IconSample Scores - DECORANA
IconDECORANA plot
IconReciprocal Averaging - RA

counting zeros

covariance

IconPrincipal Component Analysis (PCA)
IconPrincipal Component Analysis - PCA
IconVariance
IconViewing the correlation between variables (species)
IconCross products
IconDispersion matrices - DA

create data set

IconData entry from within CAP
IconCreating a data grid of a certain size

create groups

creating a data set

creating new data file

critical values

cross products

csv

IconQuick guide to running a data set
IconPreparing large data sets in a spreadsheet program
IconImport from Excel
IconPrinting and exporting grid and text output

cumulative

customise charts

cut levels

cut values

czekanowski

- D -

Data

IconMaximum size of the data set and computation speed
IconDemonstration data sets
IconRaw Data
IconCreating and editing a data set
IconPreparing large data sets in a spreadsheet program
IconData entry from within CAP
IconSaving new or edited data
IconThe Editing Chart dialog

data file

data grid

IconRaw Data
IconCreating a data grid of a certain size

data input

data preparation

data problems

data set

data structure

data transformations

IconThe working data 
IconData transformations

decimal places

DECORANA

IconDetrended Correspondence Analysis - DECORANA
IconComputations - DECORANA
IconSpecies Scores - DECORANA
IconSample Scores - DECORANA
IconDECORANA plot
IconReciprocal Averaging - RA

Decrease font

Decrease line thickness

Decrease symbol

default chart theme

define perimeter

defined groups

delete

IconEditing existing data
IconDealing with zeros or sparse data

delete column

delete row

demo data

demonstration data

demos

demote

dendrogram

IconCluster analysis
IconTWINSPAN 
IconDendrogram samples 
IconDendrogram species 
IconClustering
IconDendrogram - Cluster analysis
IconExporting dendrograms
IconPrinting charts and dendrograms

dendrogram edit

IconDendrogram - Cluster analysis
IconEdit Dendrogram

dendrogram options

IconEditing TWINSPAN Dendrograms
IconEdit Dendrogram

dendrograms

detrended

IconDetrended Correspondence Analysis - DECORANA
IconComputations - DECORANA

different methods

dimensions

IconStarting Configuration - MDS
IconStress

discriminant analysis

IconDiscriminant Analysis
IconGroups Tests
IconDiscriminant Analysis
IconEigenvalues - DA
IconDiscriminant Function Coefficients
IconFisher's Discriminant Functions
IconGroup Centroids - DA
IconSignificance tests - DA
IconDispersion matrices - DA
IconSite Coordinates - DA
IconPredictive Validation

discriminant analysis plot

discriminant function coefficients

discriminant scores

dispersion matrices

dispersion matrix

IconViewing the correlation between variables (species)
IconCross products

dissimilarity

IconNon-metric Multi-Dimensional Scaling
IconCluster summary
IconDivisive cluster analysis
IconSimilarity Percentages (SIMPER)

distance measures

IconAgglomerative cluster analysis
IconSimilarity and Distance Measures
IconSteinhaus
IconEuclidean
IconAverage
IconChord
IconGeodesic
IconManhattan
IconMean Character Difference (Czekanowski)
IconWhittaker
IconCanberra
IconBray-Curtis
IconSquared Chord Distance
IconMahalanobis distance 
IconRenkonen

diversity

divisions

divisive clustering

IconCluster analysis
IconTWINSPAN
IconClustering
IconDivisive cluster analysis
IconPlot Clusters
IconCluster Groups
IconCluster Summary

divisive clustering setup

double-zero methods

download

downweight rare variables

IconDetrended Correspondence Analysis - DECORANA
IconReciprocal Averaging - RA

draw lines

- E -

ecom

Edit

edit chart

IconEditing charts
IconThe Editing Chart dialog

edit charts

edit data

IconEditing existing data
IconThe working data 

edit dendrogram

IconEditing TWINSPAN Dendrograms
IconDendrogram - Cluster analysis
IconEdit Dendrogram

edit footer

edit graphs

edit header

edit titles

editing chart dialog

editing results

eigenvalues

IconVariance
IconEigenvectors
IconPCA plot
IconComputations - DECORANA
IconSpecies Scores - DECORANA
IconSample Scores - DECORANA
IconComputations - Reciprocal Averaging
IconSpecies Scores - Reciprocal Averaging
IconSample Scores - Reciprocal Averaging
IconSite summary 
IconVariables summary
IconEigenvalues - DA

eigenvectors

IconPrincipal Component Analysis (PCA)
IconEigenvectors
IconPCA plot

email

end point compression

enhanced metafile

enlarge

enter data

environmental gradient

errors

IconQuick guide to running a data set
IconCommon errors and problems

Euclidean

Euclidean distance

examples

excel

IconQuick guide to running a data set
IconPreparing large data sets in a spreadsheet program
IconImport from Excel
IconPrinting and exporting grid and text output

existing data

export

IconSaving new or edited data
IconExporting dendrograms
IconThe Editing Chart dialog
IconPrinting and exporting grid and text output

export as pdf

export charts

export dendrogram

IconEditing TWINSPAN Dendrograms
IconEdit Dendrogram

export pdf

exporting

IconPrinting, editing and saving results
IconExporting dendrograms

- F -

faq

file format

filter options

filtering

filters

finding errors

Fisher's discriminant coefficients

footer

fuzzy grouping

fuzzy logic

- G -

general

IconGeneral instructions
IconRelativisations

geodesic

gif

Gower's

gradient

IconReciprocal averaging (RA)
IconComputations - DECORANA

graph export

graph themes

graphics

IconPCA plot
IconDECORANA plot
IconExporting and copying charts
IconExporting dendrograms

graphs

group

group centroids

group colours

group means

group membership

group names

group properties

group tests

IconGroups Tests
IconAnalysis of Similarity (ANOSIM)
IconDiscriminant Analysis

grouping

groups

IconDiscriminant Analysis
IconGrouping
IconChanging group properties
IconClustering
IconDrawing a perimeter

groups labels

guides

- H -

header

help

IconCommon errors and problems
IconObtaining help

hierarchical classification

hierarchical clustering

IconClustering
IconAgglomerative cluster analysis

hill

IconTWINSPAN 
IconDetrended Correspondence Analysis - DECORANA

Hinkley

how to cite CAP

html

- I -

I/O error 103

I/O error 32 - access denied

image format

import data

improvements

IconImprovements implemented in CAP 5.0
IconImprovements to previous versions of CAP

Increase font

Increase line thickness

Increase symbol

index

indicator

IconTWINSPAN 
IconTWINSPAN Text

indicator levels

indicator species

indices

initial start position

input

IconGeneral instructions
IconQuick guide to running a data set
IconMaximum size of the data set and computation speed
IconCreating and editing a data set
IconPreparing large data sets in a spreadsheet program
IconData entry from within CAP

insert

insert column

insert row

install

installation

instant assist

instructions

IconInstallation and System Requirements
IconGeneral instructions

introduction

invalid floating point value

invertebrates

iterations

IconNon-metric Multi-Dimensional Scaling
IconStarting Configuration - MDS

- J -

Jaccard

Jaccards

japanese pottery

Jomon Hall

jpeg

- K -

Kruskals's least squares monotonic transformation

Kulczynski

Kulczynski quantitative

kurtosis

- L -

label columns

label rows

labels

IconGrouping
IconPCA plot
IconPreparing charts for output - Chart Tools

large array

large data sets

large files

large matrix

last-used file

latest

lines

list combiner

loading

loading from Excel

log

- M -

magnify

Mahalanobis

manhattan

MANOVA

matrix

IconTransposing data
IconViewing the correlation between variables (species)
IconCross products

matrix plot

maximum

IconMaximum size of the data set and computation speed
IconData set statistics

McQuitty's

MDS

IconNon-metric Multi-Dimensional Scaling
IconStarting Configuration - MDS
IconSite coordinates
IconStress

MDS plot

mean

IconRelativisations
IconData set statistics

mean character difference

IconSteinhaus
IconMean Character Difference (Czekanowski)

median

IconRelativisations
IconData set statistics

memory

menus

metafile

metafile format

methods

methods of analysis

methods of cluster analysis

Microsoft Excel

minimum

misclassified groups

IconSite summary 
IconVariables summary

move labels

move left

move right

MS Excel

multidimensional

multidimensional scaling

multivariate

multivariate analysis

multivariate analysis of variance

- N -

name groups

natural

negative groups

IconSite summary 
IconVariables summary

nethods of ordination

new data set

IconCreating and editing a data set
IconSaving new or edited data

new methods

NMDS

IconNon-metric Multi-Dimensional Scaling
IconStarting Configuration - MDS
IconSite coordinates
IconStress

NMDS plot

NMDS setup

node

nodes

non-hierarchical classification

non-hierarchical clustering

non-metric

notation

number of clusters

number of columns

number of dimensions

IconStarting Configuration - MDS
IconStress

number of rows

- O -

Ochiai

opening a data set

options

order

ordination

IconPrincipal Component Analysis (PCA)
IconOrdination
IconPrincipal Component Analysis - PCA
IconNon-metric Multi-Dimensional Scaling
IconReciprocal Averaging - RA

ordination methods

ordination space

organising

outline

output

IconPCA plot
IconDECORANA plot
IconPrinting, editing and saving results
IconPrinting charts and dendrograms

- P -

paste

IconCopying and pasting data
IconExporting dendrograms

pasting data

pca

IconPrincipal Component Analysis (PCA)
IconPrincipal Component Analysis - PCA
IconScores
IconEigenvectors
IconViewing the correlation between variables (species)
IconCross products
IconPCA plot
IconPrincipal Axis vs Variable Plot

pcg

pdf

IconExporting and copying charts
IconPrinting charts and dendrograms
IconPrinting charts

Pearson correlation

percent similarity

percentage cover

perimeter

petrology.csv

Pillai

plot clusters

plots

IconPCA plot
IconDECORANA plot
IconMDS plots

plotting groups

png

Pointer

positive groups

power

precision

predicted group

predictive validation

preferences

presence-absence data

IconSearching for similarity
IconTWINSPAN 
IconSimilarity and Distance Measures
IconAssociation analysis

preview

principal axes

principal axis

principal axis vs variable plot

principal component analysis

IconPrincipal Component Analysis - PCA
IconScores
IconViewing the correlation between variables (species)
IconCross products
IconPCA plot

principal component scores

principal components

IconMultivariate analysis
IconPrincipal Component Analysis (PCA)

print

IconEditing charts
IconThe Editing Chart dialog
IconPrinting and exporting grid and text output
IconPrinting charts

print as pdf

print dendrogram

print preview

IconPrinting and exporting grid and text output
IconPrinting charts

printing

IconGeneral instructions
IconPrinting, editing and saving results
IconPrinting and exporting grid and text output
IconPrinting charts

printing data errors

printing dendrogram

printing grids

printing output

problems

profile plot

promote

properties

pseudospecies

IconTWINSPAN 
IconTWINSPAN
IconSetup window - TWINSPAN

- Q -

Q analysis

IconSearching for similarity
IconSimilarity and Distance Measures

q1

q2

quadrat

quantitative data

IconReciprocal averaging (RA)
IconSimilarity and Distance Measures

quick guide

- R -

R analysis

IconSearching for similarity
IconSimilarity and Distance Measures

RA

IconReciprocal Averaging - RA
IconComputations - Reciprocal Averaging

RA computations

RA plot

RA sample scores

RA species scores

rare variables

raw data

IconRaw Data
IconEditing existing data

recent files

reciprocal averaging

IconReciprocal averaging (RA)
IconDetrended Correspondence Analysis - DECORANA
IconReciprocal Averaging - RA

reciprocal averaging computations

reciprocal averaging plot

reciprocal averaging sample scores

reciprocal averaging species scores

references

relative

relativisations

removing zeros

renkonen

resize grid

Rogers-Tanimoto

row statistics

row title

row titles

rows

IconOrganising your data for analysis
IconRelativisations
IconDealing with zeros or sparse data
IconTransposing data

rtf

run demo data

running a data set

Russell & Rao

- S -

s10

s13

s3

s4

s5

s6

s9

sample differences

sample names

sample number

sample scores

IconSample Scores - DECORANA
IconSample Scores - Reciprocal Averaging

samples

Save

IconPrinting, editing and saving results
IconEditing charts

save as

save as pdf

save text

save working data

saving

IconSaving new or edited data
IconPrinting, editing and saving results

saving grids

saving output

scaling

scatter plot

IconPrincipal Axis vs Variable Plot
IconScatter Plot

scientific notation

scores

IconSpecies Scores - Reciprocal Averaging
IconSample Scores - Reciprocal Averaging

scree

scree plot

select demo data

Select theme

selecting

send by email

Series

sets

settings

setup

IconUser preferences
IconNon-metric Multi-Dimensional Scaling

setup for agglomerative clustering

setup for divisive clustering

setup for reciprocal averaging

setup for TWINSPAN

setup MDS

show me

significance

significance of defined groups

significance tests

similarity

IconImprovements to previous versions of CAP
IconSearching for similarity
IconNon-metric Multi-Dimensional Scaling
IconClustering
IconSimilarity Percentages (SIMPER)

similarity between groups

IconAnalysis of Similarity (ANOSIM)
IconSimilarity Percentages (SIMPER)

similarity measures

IconStarting Configuration - MDS
IconSimilarity and Distance Measures
IconSimple matching
IconS3
IconRogers_Tanimoto
IconS4
IconS5
IconS6
IconJaccards
IconSorensen
IconS9
IconS10
IconRussell & Rao
IconKulczynski
IconS13
IconOchiai
IconQ1
IconQ2
IconKulczynski-Quantitative

Similarity Percentages

similarity within groups

IconAnalysis of Similarity (ANOSIM)
IconSimilarity Percentages (SIMPER)

SIMPER

IconGroups Tests
IconSimilarity Percentages (SIMPER)

simple matching

single linkage

Singular Matrix in Lower-Upper Decomposition routine

site coordinates

IconSite coordinates
IconSite Coordinates - DA

site summary

sites dendrogram

size

size of data grid

size of data set

skewness

Sorensen

IconNon-metric Multi-Dimensional Scaling
IconSorensen

sorting

space

sparse

species

IconIntroduction to CAP
IconSpecies Scores - Reciprocal Averaging

species dendrogram

species diversity & richness

species filtering

species filtering setup

species in common

species number

species occurrence in samples

species score

species scores

species summary

speed

sphericity

spreadsheet

square root

squared chord distance

standardised coefficients

starting

statistical methods

step size

stream invertebrates

stress

IconNon-metric Multi-Dimensional Scaling
IconStress
IconMDS plots

styles

subdivisions

IconSite summary 
IconVariables summary

summary

summary statistics

sums of squares

IconData set statistics
IconDivisive cluster analysis
IconCluster Summary

system requirements

- T -

techniques

TeeReader

text

Themes

IconThe Editing Chart dialog
IconThemes for charts

titles

IconCopying and pasting data
IconEditing existing data
IconPreparing charts for output - Chart Tools

tools

IconThe Editing Chart dialog
IconPreparing charts for output - Chart Tools

total covariance

total variance

transfer data

transformations

IconThe working data 
IconData transformations

transposing

TWINSPAN

IconMaximum size of the data set and computation speed
IconTWINSPAN 
IconTWINSPAN

TWINSPAN dendrogram

TWINSPAN options

TWINSPAN results

IconTWINSPAN Text
IconTWINSPAN Out

TWINSPAN setup

TWINSPAN site summary

TWINSPAN sites dendrogram

TWINSPAN species dendrogram

TWINSPAN species summary

TWINSPAN text

TWINSPAN variables summary

- U -

user preferences

using CAP

- V -

valid floating point value

variable filtering

variable filtering setup

variable names

variance

IconData set statistics
IconVariance
IconViewing the correlation between variables (species)
IconCross products
IconScree Plot

variance-covariance matrix

IconPrincipal Component Analysis - PCA
IconVariance

vegetation analysis

version

video guides

IconImprovements implemented in CAP 5.0
IconVideo guides

videos

- W -

Ward's

weighting

Whittaker

Wilks' lambda

worked examples

IconDemonstration data sets
IconWorked Example - Stream Invertebrates
IconWorked Example - Japanese Pottery
IconWorked Example - Martinsville Igneous
IconWorked Example - Cicada Song

working data screen

- X -

xls

IconQuick guide to running a data set
IconImport from Excel

xlsx

- Y -

Yate's correction

YouTube

- Z -

zero

IconDealing with zeros or sparse data
IconData set statistics

zoom