-linear regression. Student's t-tests, non-oarametric correlations, 

 discriminant analysis, factor analysis, scattergrams, analysis of 

 variance (one, two, and three-way), multivariate ANOVA, canonical 

 correlations, etc. 



(a) Cluster analysis 



-cluster by species, station, or time 



-total flexibility in how species, stations, and dates are grouped prior 

 to analysis 



-selection of similarity index from among Orloci's standard distance, 

 product moment correlation, Fager, Jaccard, Sorenson's, Webb, Kendall, 

 Czekanowski, Canberra metric, C-lambda, rho, and tau 



-selection of clustering strategy from among unweighted pair group (grp 

 avg), weighted pair (centroid) grouping, nearest neighbor grouping, 

 furthest neighbor grouping, median grouping, and flexible grouping (with 

 beta) 



(b) Dendrogram 



-for any output from cluster analysis 

 -three scales available 



(c) Data reduction by summary (for any area, station or group of stations, 

 range of dates, and times of day) 



-number of individuals or dry weight biomass by species, month, and year 



(fish, invertebrates, and plants) 

 -mean, standard deviation, and range of values over any specified time 



period (for each of 12 physical-chemical parameters) 

 -trophic analysis - diet summary of food items (user-defined classes) 

 -C-lambda (for any area, station or group of stations, date or range of 



dates, and times of day) 



(d) Data smoothing 



-moving average (number of time units optional) 



-seasonal adjustment 



-data tapering and trend adjustment 



(e) Time-series analysis 



-autoregressive moving average approach (Box-Jenkins methodology) 

 -spectral analysis 



(f) Mapping 



-physical-chemical data, macrophyte data, fish or invertebrate species 

 population totals mapped for all stations in study areas (by month) 



(g) Data base update 



-modification of any field in a data base record or records 

 -deletion of data records 



2. "MATRIX" Program System: Summary of Capabilities 



a. Introduction 



The term "matrix" as used here refers to a form for holding numbers . It does 

 not have any algebraic connotations. A two-dimensional array (or table) is one 

 very useful and frequently encountered form for the presentation of numbers. In 

 a table (see below), basic units ( cells ) that contain numbers are arranged in 

 rows and columns , where the cells of any single row or column (vector) are 

 generally related in some way. A table of numbers can be considered a two- 



137 



