StatView
är det första statistikprogrammet som erbjuder alla de
verktyg som forskare och analytiker behöver för att analysera
och presentera sina resultat. StatView integrerar - databehandling,
statistiskanalys, grafik och presentation - till ett kraftfullt,
elegant program. Genom att låta dig utföra alla dessa
steg med ett enda verktyg, minskar StatView väsentligt den
tid du lägger ned på dataanalys och presentation. Det
har inte för inte blivit valt till världens bästa
statistikprogram sju år i rad!
I nya StatView 5 ingår bl. a detta; Logistic Regression,
Power regression, ANOVA, ANCOVA, MANOVA,
MANCOVA, Repeated measures ANOVA, ANOVA Post-Hoc Tests, Cubic spline
fit, Lowess curve fit,
Supersmoother curve fit, Exponential regression, Logarithmic regression,
Power regression, Growth
regression samt en lång rad ytterligare analyser och förbättringar!
Ladda ner en broschyr för pc och mac (2.2 Mb). Klicka
här!
Ladda ner ett dokument med endast nyheterna i StatView 5. Klicka
här!
Dessa är pdf dokument som läses med Acrobat Reader. Klicka
här!
StatView 5.0
StatView 5 is the ideal analytical tool for researchers or analysts
of any discipline who are lookinf for an east-to-use, straightforward
statistics package to analyze data and present results.
StatView combines spreadsheet and data management capabilities
with a wide range of statistical analyses, superb graphing and all
the presentation tools a user needs to create professional publication
quality output.
Technical features
Descriptive statistics
• Continuous variables: mean, standard deviation, standard
error of mean, variance, coefficient of variation, count, minimum,
maximum, range, sum, sum of squares, number of missing values, geometric
mean, harmonic mean, skewness, kurtosis, median, interquartile range,
mode, trimmed mean, median absolute deviation.
• Nominal variables: number of levels, count, number missing,
mode.
• Choose n or n-1 as the denominator for the variance.
Frequency distribution
• Specify number and width of intervals.
• Display as counts, percents, relative frequencies.
• Add normal curve to histogram.
• Percentiles.
• A Show 10th, 25th, 50th, 75th, 90th percentiles.
• Display percentiles in table or in percentiles plot.
• One- and two-group paired, two-group unpaired.
• Specify hypothesized mean; choose one-tail, two-tail tests.
• Confidence Intervals.
• Calculate confidence interval for one group mean, paired
mean difference, unpaired mean difference, variance, f-test.
• Choose one-tail or two-tail tests.
• Variance Tests.
• Calculate chi square for one sample, f-test for unpaired
samples.
• Choose one-tail or two-tail tests.
Correlation and covariance
• Compute Pearson correlation, covariance, partial correlation.
• Choose listwise or pairwise deletion.
• Save Pearson correlation matrix to dataset for later use.
• Additional statistics include Bartlett's test of sphericity,
Fisher's r to z (p values for the correlation), confidence intervals.
Regression
• Choose simple, multiple (any number of predictors), polynomial
(up to 9th order), stepwise (forward or backward), or nonlinear
(exponential, growth, logarithmic, or power) models.
• Easly remove intercept from model.
• Output includes ANOVA table, r2, adjusted r2, coefficients
of regression equation, standardized coefficients, confidence intervals
for coefficients, Durbin-Watson, serial autocorrelation.
• Option to compute, add to dataset, and plot residuals, predicted,
fitted values.
• Plots: linear regression with confidence bands for the slope
of the regression line or the mean of the dependent variable, nonlinear
and polynomial regression plot, residuals vs. fitted values, dependent
vs. fitted values, dependent vs. residuals.
Anova
• Factorial ANOVA, ANCOVA, MANOVA, and MANCOVA models with
up to 32 factors and covariates, virtually unlimited factor levels.
• Repeated measures ANOVA models with up to 32 within- and
between-subject factors.
• Balanced, unbalanced, and missing cell models.
• Control depth of interactions included, from main effects
only to full-interaction models.
• Control value of alpha for post hocs and power.
• Choose from Fisher's PLSD, Scheffé's F, Bonferroni/Dunn,
Tukey-Kramer, Dunnett, Games-Howell, and Student-Newman-Keuls post
hoc tests.
• ANOVA table with power and lambda, plus full incidence and
means table; MANOVA tables with Wilk's lambda, Roy's greatest root,
Hotelling-Lawley trace, Pillai trace.
• Graphic output includes interaction plots displayed as bar
charts or line charts, with optional standard deviation, standard
error, or user-specified error bars.
Logistic regression
• Dichotomous and polytomous dependent variables (virtually
unlimited levels).
• Simple or multiple models with up to 32 factors and covariates,
virtually unlimited factor levels.
• Set maximum number of iterations and monitor coefficients
and log-likelihood at each iteration.
• Summary with count, missing, response levels, fit parameters,
overall and intercept log likelihood, R2.
• Table of coefficients with standard errors, chi square (Wald)
test, p, e^coeff (odds ratio), R, confidence intervals.
• Whole model fit table with Pearson, deviance, and likelihood
ratio tests including df, chi-square.
• Classification table with actual and predicted observations
for each level, percent correctly classified for each level and
for all levels.
Cross- tabulation tables
• Create two way contingency tables and summary statistics
including total chi-square, G statistic, contingency coefficient,
Cramer's V.
• Calculates Fisher's exact test, continuity correction, phi
coefficient for 2x2 tables.
• Output includes counts, row %, column %, overall %, expected
values, post hoc cell contributions, cell chi squares.
• Principal components, Harris image, Kaiser image, iterated
principal axis analyses with orthogonal and oblique transformations.
• Varimax, equamax, quartimax rotations.
• Input raw data or correlation matrix.
• Save oblique or orthogonal factor scores to dataset.
• Generate unrotated, orthogonal and oblique factor plots,
scree plots.
Survival analysis
Nonparametric methods
• Kaplan-Meier & Actuarial estimates, linear rank tests
for comparing survival across groups, including logrank (Mantel-Cox
or Mantel-Haenszel), Breslow-Gehan-Wilcoxon, Tarone-Ware, Peto-Wilcoxon,
Harrington-Fleming and Trend versions, stratification.
• Tables: Survival function and related quantities, quantiles
and summary.
• Plots: Cumulative survival, cumulative hazard, ln cumulative
hazard, hazard (actuarial only), density (actuarial only), censor/response
patterns.
Regression models
• Models include proportional hazards, Cox, Weibull, exponential,
lognormal, loglogistic Stepwise option; stratification (proportional
hazards only).
• Wald, Score and likelihood ratio joint significance tests,
residuals including Martingale, deviance (proportional hazards only),
score (proportional hazards only).
• Tables: Model coefficients, confidence intervals, baseline
survival, summary, iteration history and coefficient correlation/covariance.
• Plots: Baseline cumulative survival, baseline cumulative
hazard, ln Baseline cumulative hazard, residual plots, quantiles
for model distribution (parametric models only).
Save survival tables to dataset
• Save baseline survival and hazard estimates, survival and
hazard estimates, linear predictor and residuals at observed covariates.
• Display Kaplan-Meier estimates in tables and plots.
Quality control/SPC
Subgroup measurement
• Base sigma on subgroup SDs, subgroup ranges, user-specified
value, base control limits on k sigma, alpha, user-specifiable tests
for special causes Complete control over parameters for CUSUM (with
or without FIR), QC lines, capability.
• Graphs: Xbar, range (R), standard deviation (S), CUSUM (line,
scatter, needle, bar charts).
• Tables: QC summary, Xbar, range (R), standard deviation
(S), CUSUM, special causes, capability.
• Individual Measurement.
• Base sigma on average MR, overall SD, user-specified value,
base control limits on k sigma, alpha, specify range span.
• User-specifiable tests for special causes, complete control
over parameters for CUSUM (with or without FIR), QC lines, capability.
• Graphs: individual measurement (I), moving range (MR), CUSUM
(line, scatter, needle, bar charts).
• Tables: QC summary, individual measurement (I), moving range
(MR), CUSUM, special causes, capability.
Individual measurement
• Base sigma on average MR, overall SD, user-specified value,
base control limits on k sigma, alpha, specify range plan.
• User-specifiable tests for special causes, complete control
over parameters for CUSUM (with or without FIR), QC lines, capability.
• Graphs: individual measurement (l), moving range (MR), CUSUM
(line, scatter, needle, bar charts).
• Tables: QC summary, individual measurement (l), moving range
(MR), CUSUM, special causes, capability.
• Base control limits on k sigma, alpha, option to specify
value for p, user-specifiable tests for special causes, complete
control over QC line parameters.
• Graphs: p, np (line, scatter, needle, bar charts).
• Tables: QC summary, p, np, special causes.
• Base control limits on k sigma, alpha, option to specify
value for mu, user-specifiable tests for special causes, complete
control over QC line parameters.
• Graphs: c, u (line, scatter, needle, bar charts).
• Tables: QC summary, c, u, special causes.
Pareto analysis
• Pareto charts (display as counts or percents, show cumulative
curve).
• Pareto tables (display counts, percents, cumulative counts,
cumulative percents).
Presentation graphing
Graphs
• Univariate and bivariate scattergrams and line charts;
histograms and pie charts, box plots, vertical, horizontal, and
side-by-side bar, point, and line cell charts (means or sums, error
bars).
• Cubic spline, lowess, supersmoother, or linear regression
fitted lines (with optional confidence bands) for bivariate scattergrams
or line charts; lines can be fit separately for each level of grouping
variable(s).
• Percentile, and comparison percentile graphs.
Error bars
• Choose from standard deviation, standard error, or confidence
intervals you specify the error level.
Axis controls
• Scales: linear, semi-log, log-log, exponential, log base
2, cell axis scales.
• Control upper and lower axis values, major and minor interval
widths.
• Specify tick mark placement, direction (in, out, both, neither),
number per interval, length, line weight.
• Control label placement, grid line, axis appearance for
cell axes.
• Add grid lines at major ticks, minor ticks, both, or origin.
Axis labels
• Set numeric format and decimal places for axis values.
• Control font, text, size, style and color of axis values
and labels individually.
• Rotate and reposition axis values and labels.
Legend
• Choose horizontal, vertical or two-column orientation.
• Add legend frame, set to square or round corners, automatically
draw legend shadow box.
• Show/hide or reposition legend anywhere.
Graph controls
• Specify axis lengths in inches, centimeters, picas or points.
• Choose from three different frame styles (framed, unframed,
framed no tick marks).
• Flip any graph on its side.
• Choose from 16 different plotting symbols.
• Select from 6 different symbol sizes or choose to not plot
a specific set of points.
• No limit on number of points, variables which can appear
in a single plot.
• Change line widths for: axis frame, tick marks, regression
lines, reference lines, bars, etc.
Color
• Separately control the color of any part of a graph.
• Axis values, labels, ticks, grid lines.
• Plotting symbols, lines, bar fills.
• Interior of plot, graph frame.
• Document background ("paper color").
Special features
• All graphs are dynamically linked to data. Any change to
a data value will automatically update and be reflected on graphs.
• Use templates to create the same graph with different data.
• Customize default graph styles: length of X and Y axes,
frame style, number format and decimal places, plotting symbol size
and order, fill order, color order.
• All formatting dialog boxes have a "Show" button
so you can preview formatting changes.
• Split By command allows you to differentiate groups in your
graphs with different plotting symbols or bar fills, and to view
separate tabular results for each group.
• Control which groups appear in legends and which appear
on axis.
Powerful data management
Data entry
• Enter data in our easy-to-use spreadsheet format where
each column is a variable and each case is a row.
• Your dataset automatically grows as you enter data up to
32,765 columns and over 500 million rows.
• Edit data easily by selecting cells and typing new values.
• Complete cut/copy/paste/undo for editing and transfer ring
data to and from other applications.
• Choose real, integer, category, date/time, currency, string
data types.
• View descriptive statistics for each column instantly in
the dataset.
• Change column types and display formats directly on screen
with a pop-up menu.
• Insert columns and rows anywhere in the dataset.
• Add multiple columns to dataset with a single command.
• Change data attributes and column widths for multiple columns
at once.
Data transformations and formulas
• Create new columns using simple or complex formulas.
• Select from over 160 built in arithmetic, algebraic, trigonometric,
date/time, mathematical, logical, string, statistical and special
purpose functions including if... then... else statements.
• Generate columns from over twenty different distributions
and series.
• Control automatic recalculation of formula-generated columns.
• Recode continuous data into categories without cumbersome
commands.
• Substitute specified values for missing values (e.g. missing
values = column mean).
• Test for homogeneity of variance quickly with a formula.
Data manipulation
• Create and save criteria that you can apply at any time
to your data for examining subsets.
• Criteria can be simple definitions, (e.g. females), or complex
(e.g. patients older than 60 with diabetes and who weigh between
150 and 200 pounds).
• Use Split By command to separate statistics and graphs on
groups automatically, without having to reorder data.
• Use random criteria to subsample data in analyses.
• Sort datasets on one or more variables, ascending or descending.
Data import and export
• Cross-platform dataset format allows you to exchange datasets
between StatView for Macintosh and Windows without losing formulas,
criteria, and data attributes.
• Read and write Microsoft Excel 3 and 4 files while maintaining
all your data formatting.
• Specify form of text files to import or export: standard
delimiters (tab, space, comma) or any keyboard character.
• Our "smart parser" reads and writes ASCII text
files for easy data import and export to other programs and other
platforms.
• Copy and paste objects to other applications as either graphics
or text.
Versatile drawing enviroment
Customize tables
• Choose from eight different table formats or create your
own format.
• Resize tables to any size, change line widths and colors.
• Control font, size, style, and color of table text.
Page layout and production
• Take advantage of a complete, built-in drawing environment.
You can combine tables, graphs and drawn objects, and place them
anywhere in a document.
• Generate tables and graphs from different datasets and from
different analyses.
• Create your entire presentation in StatView hundreds of
pages!
• Produce camera-ready art for publication.
• Save results as graphic or text files for easy transfer
to other applications.
• Complete cut, copy, paste, and undo.
• Group objects for easy rescaling and movement.
• Lock an object's location and appearance.
Printing
• Print to any device supported by your computer (laser printers,
PostScript printers, color printers, slidemakers, dot matrix and
ink-jet printers, etc.).
• Print to the full resolution of your printer.
• Option to print hairlines.
Rulers and grids
• Add rulers and grids for accurate placement of objects.
• Customize units (inches or centimeters), set number of divisions
per unit.
• Turn grid on or off, align objects to grid.
• Control front-to-back position of objects.
Drawing tools and color
• Draw circles, squares, rounded rectangles, freehand shapes,
polygons, arcs, lines.
• Add arrowheads to lines and arcs.
• Control the fill and line width of any drawn object.
• Reshape all shapes and freehand curves.
• Support for black and white to millions of colors.
• Control the color of text, drawn objects, graphs, tables
everything in the document.
Text editor
• Add or edit text anywhere by typing in the view window.
• Assign font, size, style, and color to any single character
or character group.
• Rotate text in 90 degree increments.
• Left, center or right justify text.
All purpose templates
• Choose from over a hundred view and dataset templates already
designed for you.
• Select the proper template, choose a dataset to analyze,
and plug in your variables.
• Create templates yourself and apply them to different data.
Templates can contain formatting information, such as graph customizations,
or an entire sequence of analyses.
• Save anything that appears on your screen including charts,
tables, and drawn objects and their positions. Open saved files
and return to analysis exactly where you left off.
Cross platform support
• StatView's interface on Windows and Macintosh is almost
identical; no learning curve when switching from one version to
the other.
• Dataset Transfer file format for exchanging datasets between
Macintosh and Windows without losing formulas, criteria, or data
attribute.
Statview for Windows specific features
• 32-bit application designed for Windows 95 or NT 4; will
also run on Windows 3.1 and NT 3.5.
• Supports long filenames under Windows 95 and NT 4.
• Export graphics as Windows metafiles or enhanced metafiles.
• Toolbar with Tool Tips.
• Status bar.
• Comprehensive Windows Help system offers context-sensitive
help, with indexing and searching capabilities.
• "Uninstall" option.
Statview for Macintosh specific features
• Export graphics as PICT files.
• Apple Guide active assistance helps you take full advantage
of StatView's power. This unique system shows you how to perform
tasks by giving instructions in information panels, by placing coachmarks
around interface items and by directing you through each individual
step necessary to complete a task--as if a StatView expert were
sitting right next to you.
System Requirements
Win
• Operating system: Windows 3.1 (requires Win32s, provided),
Windows 95, 98, or Windows NT 3.5 I, 4 or 2000.
• Minimum CPU: 80486.
• Minimum RAM: 8 MB physical RAM for Windows 3.1, 95 or 98;
12 MB physical RAM for Windows NT or 2000.
• Recommended RAM: 16-32 MB for maximum performance.
• Hard disk space needed: 18 MB, + 2 MB for Win32s.
Mac
• Operating system: Minimum System Version 7.1. Compatible
with MacOS 8.
• Minimum CPU: any Macintosh or Power Macintosh, 68040 or
better recommended.
• Power Macintosh is 100% native for Power Macintosh.
• Math coprocessor: recommended but not required.
• Minimum RAM: 4 Mb free (11 MB for Power Macintosh with Virtual
Memory turned off).
• Recommended RAM: 8 MB or more free RAM.
