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Simfit: simulation, statistical analysis, curve fitting and graph plotting.

simfit.org.uk
Simfit: a package for simulation, statistical analysis, curve fitting and graph plotting using models from a compiled library or supplied by the user.
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Keywords cloud function Simfit functions data plots analysis integral models test files = page menu home normal library confidence order Bessel tests
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function 42
Simfit 40
functions 30
data 23
plots 21
analysis 19
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Simfit menu Simfit home 10 0.50 % No
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for use in cluster 2 0.10 % No
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Simfit: simulation, statistical analysis, lines fitting and graph plotting. Home Simdem Gallery Documents Download The Simfit package Simfit is a completetly free, open-source package, distributed as 32-bit or 64-bit binaries. The source lawmaking can be downloaded from https://simfit.org.uk so that programmers can edit the drivers for their own needs or compile individual subroutines. Summary StatisticsLinesfitting Graph plotting Calculations Special functions NAG library routines Simulations Documentation Installation Help Back to the Simfit home page Summary Simfit is a computer package for simulation, statistical analysis, lines fitting and graph plotting, using models from a compiled library or from ASCII text files supplied by the user. It can be used for teaching the principles of lines fitting, simulation and statistical wringer to students, but it will be found most useful by those interested in serious data wringer and creating professional, publication quality, scientific graphs. Simfit is a hodgepodge of forty separate programs, each defended to a particular zone of data analysis, but the package is run seamlessly from a program manager (w_simfit.exe in 32-bit versions or x64_simfit.exe in 64-bit versions) that has facilities for browsing and printing files. Data can be formatted by defended editors that can trammels for positive values, values in increasing order, sensible weighting factors, etc. or you can reprinting tables to the clipboard from any Windows application, then paste them into any Simfit program. Macros are provided to create correctly formatted data files from data held in Microsoft Office Excel format. In order introduce first-time users to Simfit functionality, each time a procedure is selected a default data set is installed to demonstrate the data format required and the sort of results anticipated. Further, at any stage while using Simfit, the file-open dialogue has a sawed-off labeled [Demo] which lists typical data files for browsing or analysis. Many newsy messages are displayed to help when using a procedure for the first time, but there is a speedup option to toggle these on or off as required.Withouteach wringer the results are written to archives for retrospective use. There is a comprehensive reference transmission (w_manual.pdf) compete with hyperlinks and an alphabetize as well as individual tutorials explaining each Simfit procedure. These are moreover distributed as a placid set (w_examples.pdf) with the Simfit package. Simfit menu, Simfit home page Statistics All the usual descriptive statistics (bar charts, histograms, best-fit distributions on sample cdfs, dendrograms, box and whisker or cluster plots), multivariate statistics (distance matrices and dendrograms, principal components and scree plots), time series (ACF, PACF, ARIMA) and commonly used tests (mostly with word-for-word p values not the normal approximations), such as: chi-square (O/E vectors, m by n contingency tables and wssq/ndof) McNemar test on n by n frequency tables Cochran Q test Fisher word-for-word (2 by 2 contingency table) with all p values Fisher word-for-word Poisson distribution test t (both equal and unequal variances, paired and unpaired) variance ratio F for model validation Bartlett and Levene tests for homogeneity of variance 1,2,3-way Anova (with will-less variance stabilizing transformations and nonparametric equivalents) Tukey post-ANOVA Q test Factorial ANOVA with marginal plots Repeated measures ANOVA with Helmert matrix of orthonormal contrasts, Mauchly sphericity test and Greenhouse-Geisser/Huyn-Feldt epsilon corrections MANOVA with Wilks lambda, Roy's largest root, Lawley-Hotelling trace, and Pillai trace for equality of midpoint vectors, Box's test for equality of covariance matrices, and profile wringer for repeated measurements. Canonical variates and correlations for group comparisons Mahalanobis loftiness interpretation for typecasting to groups using estimative or predictive Bayesian methods Cochran-Mantel-Haenszel 2x2xk contingency table MetaWringertest Binomial test Sign test various Hotelling T-squared tests Goodness of fit and non parametric tests: runs (all, conditional, up and down) signs Wilcoxon-Mann-Whitney U Wilcoxon paired-samples signed-ranks Kolmogorov-Smirnov 1 and 2 sample Kruskal-Wallis Friedman Median, Mood and David tests and Kendall coefficient of wordbook Mallows Cp, Akaike AIC, Schwarz SC, Durbin-Watson tables and plots of residuals, weighted residuals, deviance residuals, Anscombe residuals, leverages and studentized residuals as towardly half normal and normal residuals plots Multilinear regression by L1 norm L2 norm (weighted least squares) L∞ norm Robust regression (M-estimates)Moreoverlogistic, binary logistic, log-linear, orthogonal, reduced major axis, with interactive selection and transformation of variables in all cases. Partial Least squares (PLS) Survival wringer (Kaplan-Meier, ML-Weibull, Mantel-Haenszel) or, using generalized linear models with covariates (Exponential, Weibull, Extreme value, Cox) Correlation wringer (Pearson product moment, Kendal Tau, Spearman Rank) on all possible pairs of columns in a matrix, and canonical correlations when data columns fall naturally into two groups. Partial correlation coefficients can be calculated for data sets with increasingly than two variables. Shapiro-Wilks normality test with the large sample correction Normal scores plots Binomial distribution, wringer of proportions, word-for-word parameter conviction limits, likelihood ratio, odds, odds ratios and graphical tests such as log-odds-ratios plots with word-for-word conviction limits for systematic variation in binomial p values Trinomial distribution (and conviction silhouette plots) Parameter estimates, conviction limits and goodness of fit for: uniform normal binomial Poisson exponential gamma beta lognormal Weibull distributions All possible pairwise comparisons between columns of data by KS-2, MWU and unpaired t tests using the Bonferroni principle. Calculates False Discovery Rates FDR(HM) given p-values from multiple testing. Simfit menu, Simfit home pageLinesfitting Sums of exponentials (and interpretation of AUC) Sums of Michaelis-Menten functions (and interpretation of half saturation points and final asymptotes) Sums of High/Low unification tightness sites Cooperative order n saturation functions (and cooperativity analysis) Positive n:n rational functions Growth curves (derivative plots, comparison of models and interpretation of min/max growth rates, half-times and final sizes) Survival curves using several models Polynomials (all degrees up to 6 then statistical tests for the weightier model and prediction of x with conviction limits given y) Cubic splines (user-placed knots, will-less knots with variable tension, or crosss-validation data smoothing) Systems of differential equations (Adams, Gear, phase portrait, orbits) using specified starting estimates and limits or random cycles to search for a global minimumScalecurves (polynomials, splines or user selected models)Zoneunder lines (AUC by nomination from several methods) Initial rates Lag times Horizontal and inclined asymptotes Numerical deconvolution of sums of exponentials, Michaelis-Mentens, trigonometric functions and Gaussian densities Fitting user supplied models Analyzing spritz cytometry profilesWithoutfitting functions of 1, 2 or 3 variables, parameters and objective functions can be stored for F, Akaike, Schwarz and Mallows Cp tests, and the wssq/ndof contours and 3D surface can be viewed as functions of any two chosen parameters. With all functions of 1 variable, calibration, evaluation, extrapolation, zone calculations, derivative estimations and interactive error bar plots can be done. Multi-function mode: simultaneous fitting of several functions of the same self-sustaining variables, linked by worldwide model parameters Generalized Linear Models (GLM) can be fitted interactively with either normal, binomial, Poisson or Gamma errors.Towardlylinks can be either identity, power, square root, reciprocal, log, logistic, probit or complementary log-log with canonical links as defaults and facility to supply stock-still offsets. A simplified interface is included for logistic, binary logistic or polynomial logistic regression, bioassy, log-lin contingency wringer or survival analysis. Stratified data sets can be analyzed by Cox regression and provisionary logistic regression Autoregressive integrated moving stereotype models (ARIMA) to time series with forecasting Facility to store parameter estimates and covariance matrices in order to compute Mahalanobis distances between fits of the same model to variegated data sets and test for significant differences in parameter estimates. Simfit menu, Simfit home page Graph plotting Grouping of data into histograms (with error bars if appropriate) and cdfsNumberingof ways and error bars with wrong-headed conviction limits from replicates can be washed-up interactively or from data files Error bars can be non-symmetrical or sloping if required and multiple non-orthogonal error bars can be plotted Error bars can be widow to 2D and 3D bar charts and 3D cylinder plots Extrapolation of best-fit linear and nonlinear curves to wrong-headed end pointsWill-lesstransformation of error bars into various axes (Hill, Lineweaver-Burk, Scatchard, log-odds, etc.) Immunoassay type dilution plots using logs to wiring 2, 3, 4, 5, 6, 7, 8, 9 as well as e and 10, and with labels as logs, powers of the wiring or fractions Multiple axes plots Pie charts with wrong-headed displacements, fill-styles, colours Bar charts with wrong-headed positions, sizes, fill-styles, colours and error-bars Presentation box and whisker plots, and pie or bar charts with 3D perspective effects Orbits and vector field diagrams for systems of differential equations Dendrograms and 3D-cluster plots for use in cluster wringer Scree diagrams and score or loading scatter plots for principal components wringer (score plots can have Hotelling T^2 elliptical conviction regions) 3D-surfaces and 2D-projections of contours Curves in space and projections onto planes vast variety of plotting notation and maths symbols Standard PostScript fonts, Symbol, ZapfDingbats and Isolatin1 encoding Professional quality PostScript files that can hands be edited to transpiration titles, legends, symbols, line-types and thicknesses, etc. Interactive PostScript facility for summarily stretching and clipping overcrowded plots such as dendrograms without waffly speciality ratios of fonts or plotting symbols but by just waffly white-space between graphical objects A PostScript editor is supplied for scaling, rotating, shearing, translating, editing, making collages and inlays from .eps files Transformation of .eps files into bit-map and compressed graphics formats (e.g. bmp, pcx, tif, jpg, png, pdf) Plotting user specified parameteric equations such as r(theta), x(t), y(t) in 2-space and x(t),y(t),z(t) in 3-space Facility to import PostScript specials automatically into the PostScript file megacosm stream in order to redefine fonts, colours, plotting symbols, add logos, etc. Graphical deconvolution of summation models without fitting 2D and 3D Biplots for multivariate data sets Simfit menu, Simfit home page Calculations Zeros of polynomials Zeros of a user-defined function Zeros of n nonlinear functions in n variables Integrals of n user-defined functions in m variables Convolution integrals Bound-constrained quasi-Newton optimization Eigenvalues Determinants Inverses Singular value decomposition with right and left singular vectors LU factorisation as A = PLU with matrix 1 and infinity norms and respective condition numbers QR factorisation as in A = QR Cholesky factorisation as in Q = R(R^T) Matrix multiplication C = AB, (A^T)B, A(B^T) or (A^T)(B^T) Evaluation of quadratic forms (x^T)Ax or (x^T)(A^{-1})x Solve full-rank matrix equations Ax = b Solve over-determined linear systems Ax = b in the L1, L2 or L∞ norms Solve the symmetric eigenvalue problem (A - lambda*B)x = 0 Areas, derivatives and arc lengths of user supplied functionsWringerof cooperative ligand tightness (zeros of tightness polynomial, Hessian, minmax Hill slope, transformed tightness constants, cooperativity indices, plotting species fractions) Power and sample size calculations for statistical tests used in clinical trials, including plotting power as a function of sample size (1 or 2 binomial proportions; 1, 2 or k normal ANOVA samples; 1 or 2 correlation coefficients; 1 or 2 variances; chi-square test) Probabilities and cdf plots for the non-central t, non-central chi-square, non-central beta or non-central F distributionsInterpretationof word-for-word parameter conviction limits for the binomial, normal, Poisson, etc. distributions and plotting conviction contours for the trinomial distribution. Robust numbering of location parameter with conviction limits for one sample (median, trimmed and winsorized means, Hodges-Lehmann estimate, etc.). Time series smoothing by moving averages, running medians, Hanning or the 4253H-twice smoother Time series, sample autocorrelation functions and partial autocorrelation functions and plots for chosen numbers of lags and associated test statistics Auto- and cross-correlation matrices for two time seriesLoftinessmatrices for use in cluster wringer with wide-stretching nomination of pre-conditioning transformations and volitional link functions, e.g. Canberra dissimilarity and Bray-Curtis similarity. Neaest neighbours from a loftiness matrix Classical-metric and non-metric scaling of loftiness matrices Principal components with eigenvalues, scree diagrams, loadings and scores from multivariate data sets Procrustes wringer to estimate the similarity between two matrices Varimax or Quartimax rotation of a loading matrix Canonical variates with eigenvalues, scree diagrams, loadings and scores from multivariate data sets. Group ways can be plotted with conviction regions to assign comparison data to existing groups. K-means cluster wringer with plots Shannon, Brilloin, Pielou, and Simpson diversity indices. Kernel density interpretation Smooth interpolation by cubic Bessel, piecewise monotonic, McConalogue, Butland Simfit menu, Simfit home page Special functions These can all be tabbed by 1-line commands as described in the documentation for user-defined models. Some of them have equivalent NAG library versions as indicated below.WritNAG Description arctanh(x) S11AAF Inverse hyperbolic tangent arcsinh(x) S11AAF Inverse hyperbolic sine arccosh(x) S11AAF Inverse hyperbolic cosine ai(x) S17AGF Airy function Ai(x) dai(x) S17AJF Derivative of Ai(x) bi(x) S17AHF Airy function Bi(x) dbi(x) S17AKF Derivative of Bi(x) besj0(x) S17AEF Bessel function J0 besj1(x) S17AFF Bessel function J1 besy0(x) S17ACF Bessel function Y0 besy1(x) S17ADF Bessel function Y1 besi0(x) S18ADF Bessel function I0 besi1(x) S18AFF Bessel function I1 besk0(x) S18ACF Bessel function K0 besk1(x) S18ADF Bessel function K1 phi(x) S15ABF Normal cdf phic(x) S15ACF Normal cdf complement erf(x) S15AEF Error function erfc(x) S15ADF Error function complement dawson(x) S15AFF Dawson integral ci(x) S13ACF Cosine integral Ci(x) si(x) S13ADF Sine integral Si(x) e1(x) S13AAF Exponential integral E1(x) ei(x) ...... Exponential integral Ei(x) rc(x,y) S21BAF Elliptic integral RC rf(x,y,z) S21BBF Elliptic integral RF rd(x,y,z) S21BCF Elliptic integral RD rj(x,y,z,r) S21BDF Elliptic integral RJ sn(x,m) S21CAF Jacobi elliptic function SN cn(x,m) S21CAF Jacobi elliptic function CN dn(x,m) S21CAF Jacobi elliptic function DN ln(1+x) S01BAF ln(1 + x) for x near zero mchoosen(m,n) ...... Binomial coefficient gamma(x) S13AAF Gamma function lngamma(x) S14ABF log Gamma function psi(x) S14ADF Digamma function, (d/dx)log(Gamma(x)) dpsi(x) S14ADF Trigamma function, (d^2/dx^2)log(Gamma(x)) igamma(x,a) S14BAF Incomplete Gamma function igammac(x,a) S14BAF Complement of Incomplete Gamma function fresnelc(x) S20ADF Fresnel C function fresnels(x) S20ACF Fresnel S function bei(x) S19ABF Kelvin bei function ber(x) S19AAF Kelvin ber function kei(x) S19ADF Kelvin kei function ker(x) S19ACF Kelvin ker function cdft(x,m) G01EBF cdf for t distribution cdfc(x,m) G01ECF cdf for chi-square distribution cdff(x,m,n) G01EDF cdf for F distribution (m = num, n = denom) cdfb(x,a,b) G01EEF cdf for beta distribution cdfg(x,a,b) G01EFF cdf for gamma distribution invn(x) G01FAF inverse normal invt(x,m) G01FBF inverse t invc(x,m) G01FCF inverse chi-square invb(x,a,b) G01FEF inverse beta invg(x,a,b) G01FFF inverse gamma spence(x) ...... Spence integral: 0 to x of -(1/y)log|(1-y)| clausen(x) ...... Clausen integral: 0 to x of -log(2*sin(t/2)) struveh(x,m) ...... Struve H function order m (m = 0, 1) struvel(x,m) ...... Struve L function order m (m = 0, 1) kummerm(x,a,b)...... Confluent hypergeometric function M(a,b,x) kummeru(x,a,b)...... U(a,b,x), b = 1 + n, the logarithmic solution lpol(x,m,n) ...... Legendre polynomial of the 1st kind, P_n^m(x), -1 =< x =< 1, 0 =< m =< n abram(x,m) ...... Abramovitz function order m (m = 0, 1, 2), x > 0, integral: 0 to infinity of t^m exp( - t^2 - x/t) debye(x,m) ...... Debye function of order m (m = 1, 2, 3, 4) (m/x^m)[integral: 0 to x of t^m/(exp(t) - 1)] fermi(x,a) ...... Fermi-Dirac integral (1/Gamma(1 + a))[integral: 0 to infinity t^a/(1 + exp(t - x))] heaviside(x,a)...... Heaviside unit function h(x - a) delta(i,j) ...... Kronecker delta function impulse(x,a,b)...... Unit impulse function (small b for Dirac delta) spike(x,a,b) ...... Unit triangular spike function gauss(x,a,b) ...... Gauss pdf sqwave(x,a) ...... Square wave width 1, period 2a rtwave(x,a) ...... Rectified triangular wave width 1, period 2a mdwave(x,a) ...... Morse dot wave width 1, period 2a stwave(x,a) ...... Sawtooth wave width 1, period a rswave(x,a) ...... Rectified sine wave width 1, period pi/a shwave(x,a) ...... Sine half-wave width 1, period 2*pi/a uiwave(x,a,b) ...... Unit impulse wave zone 1, period a, width b Simfit menu, Simfit home page NAG library routines Early versions of Simfit used the NAG library routines for numerical procedures, and this can still be washed-up if a valid license is available. Otherwise Simfit has a seated library to use public domain versions of these routines. Some of these replacement routines have spare functionality and, where routines have been removed from the NAG library, spare lawmaking has been included so that newer NAG routines will be tabbed when the NAG library is stuff used instead of the Simfit library. a00acf, a00adf c02agf c05adf, c05azf, c05nbf d01ajf, d01eaf d02cjf, d02ejf e02adf, e02akf, e02baf, e02bbf, e02bcf, e02bdf, e02bef, e02gbf, e02gcf e04jyf, e04kzf, e04uef, e04uff f01abf, f01acf, f01adf f02aaf, f02aff, f02ebf, f02fdf f03aaf, f03abf, f03aef, f03aff f04aff, f04agf, f04ajf, f04asf, f04atf f06eaf, f06ejf, f06qff, f06yaf, f06raf f07adf, f07aef, f07agf, f07ajf, f07fdf f08aef, f08aff, f08faf, f08kaf, f08kef, f08kff, f08mef, f08naf, f08saf fz1caf, fz1clf g01aff, g01bjf, g01bkf, g01cef, g01dbf, g01ddf, g01eaf, g01ebf, g01ecf, g01edf, g01eef, g01eff, g01emf, g01faf, g01fbf, g01fcf, g01fdf, g01fef, g01fff, g01fmf, g01gbf, g01gcf, g01gdf, g01gef g02baf, g02bnf, g02byf, g02caf, g02gaf, g02gbf, g02gcf, g02gdf, g02gkf, g02haf, g02laf, g02lcf, g02ldf g03aaf, g03acf, g03adf, g03baf, g03bcf, g03caf, g03ccf, g03daf, g03dbf, g03dcf, g03eaf, g03ecf, g03eff, g03ejf, g03faf, g03fcf g04adf, g04aef, g04agf, g04caf g05caf, g05cbf, g05ccf, g05daf, g05dbf, g05dcf, g05ddf, g05def, g05dff, g05dhf, g05dpf, g05dyf, g05ecf, g05edf, g05ehf, g05eyf, g05fff, g05kff, g05kgf, g05ncf, g05saf, g05scf, g05sdf, g05sff, g05sjf, g05skf, g05slf, g05smf, g05snf, g05sqf, g05ssf, g05taf, g05tdf, g05tjf, g05tlf g07aaf, g07abf, g07bef, g07daf, g07ddf, g07eaf, g07ebf g08aaf, g08aef, g08acf, g08baf, g08daf, g08eaf, g08aff, g08agf, g08ahf, g08ajf, g08akf, g08baf, g08cbf, g08cdf, g08daf, g08eaf, g08raf, g08rbf g10abf, g10acf, g10baf, g10zaf g11caf g12aaf, g12baf, g12zaf g13aaf, g13abf, g13acf, g13adf, g13aef, g13ahf s01baf s11aaf, s11abf, s11acf s13aaf, s13acf, s13adf s14aaf, s14abf, s14acf, s14adf, s14baf s15abf, s15acf, s15adf, s15aef, s15aff s17acf, s17adf, s17aef, s17aff, s17agf, s17ahf, s17ajf, s17akf s18acf, s18adf, s18aef, s18aff s19aaf, s19abf, s19acf, s19adf s20acf, s20adf s21baf, s21bbf, s21bcf, s21bdf, s21caf x01aaf, x02ajf, x02alf, x02amf, x03aaf Simfit menu, Simfit home page Simulation Generating word-for-word data from a library of models or from user-defined models User specified models can be multiple equations in several variables or sets of nonlinear differential equations, and can have provisionary logical branching (equivalent to if...elseif...else) for models that swap at hair-trigger values of subsidiary functions or self-sustaining variables Logical operators like IF, IFNOT, AND, OR, NOT, XOR, etc. can be used to tenancy model execution Special functions that can be used within models include Airy functions Ai(x), Bi(x) and derivatives Hyperbolic and inverse hyperbolic functions cosh(x), sinh(x), tanh(x), arccosh(x), arcsinh(x), arctanh(x) Bessel functions J0, J1, Y0, Y1, I0, I1, K0, K1 Normal integral phi(x), error function erf(x) and complements phic(x) and erfc(x), Dawson's integral Exponential, sine and cosine integrals, E1(x), Ei(x), Si(x), Ci(x) Fresnel, Spence, Debye, Fermi-Dirac, Abramovitz, Clausen integrals Kelvin bei(x), ber(x), kei(x) and ker(x) functions Elliptic integrals RC, RF, RD, RJ and Jacobi functions sn(u,m), cn(u,m) and dn(u,m) Binomial coefficients, gamma function, incomplete gamma function, log(gamma(x)), digamma (psi(x)), and trigamma functions Struve confluent hypergeometric functions Legendre polynomials of stratum n and order m, spherical harmonics Cumulative distribution functions for the normal, t, F, chi-square, beta and gamma distributions Inverse functions for the normal, t, F, chi-square, beta and gamma distributions Impulse functions: Heaviside, Kronecker delta, Dirac delta, triangular spike, Gaussian Periodic wave impulse functions: square, rectified triangle, Morse dot, sawtooth, rectified sine, rectified half sine, unit impulse One-line commands can be used for vector arithmetic (initialisation, norms, dot products), for evaluating polynomials or Chebyshev expansions, or for calling for mathematical constants (like Euler's gamma) Submodels can be defined, and these can be tabbed from a main model for function evaluation, root finding, or adaptive quadrature or they can be tabbed dynamically with wrong-headed arguments A one line writ is all that is necessary to estimate a convolution integral for any two sub-models over any rangeSubtractingrandom error to word-for-word data sets to simulate experimental error Systems of differential equationsWithoutsimulating, selected orbits can be stored and, with voluntary systems, vector field phase portraits can be plotted to identify singularities. Generating random numbers and 1,2,3-D random walks from the: uniform normal chi-square F logistic Weibull Cauchy Poisson binomial distributions. Generating n by m normally distributed random matrices. Generating random permutations of lists and Latin squares. Simfit menu, Simfit home page Documentation Help documents are misogynist in several formats as follows: ASCII text files can be read by any text editor (e.g. Notepad), or using a Simfit viewer, which is safer as it does not indulge editing. HTML documents can be viewed by a built in HTML interpreter without using your own browser. PostScript documents (.ps) can be read using GSview or transformed into Portable Document Format. Portable Document Format (.pdf) files can be read and printed using Adobe Acrobat reader. Binary files that can only be read using a built in interpreter. A short HTML program can be viewed from the main Simfit program manager, w_simfit.exe. Each program has a defended self contained tutorial. Many of the specialized controls have individual tutorials. There is an wide-stretching set of readme files (w_readme.0 gives details) which describe wide features and technical details. A document (simfit_summary.pdf) summarizes the package and contains collages. A document (MS_office.pdf) describes the interface to MS Office and, in particular, explains how to use the macros to pericope data from MS Excel spreadsheets. A document (PS_fonts.pdf) lists the PostScript font encodings, for those who want to create special effects. A detailed reference transmission (w_manual.pdf) is provided in monochrome, colour, .ps and .pdf formats. The coloured pdf version incorporates hyperlinks between the contents, alphabetize and page references and provides typesetting marks. A document (source.pdf) explains how to compile the source code. A document (speedup.pdf) explains how to speed up Simfit wringer by suppressing newsy messages intended for first-time users. There is a full set of test files containing towardly data to test every Simfit procedure. Simfit menu, Simfit home page InstallationReprintingdown the file simfit_setup7_a_b.exe (or x64_simfit_setup7_a_b.exe) onto your PC, unshut it and winnow the default installation folder. Make a sedentary top shortcut to the suburbanite file w_simfit.exe (or x64_simfit.exe) in the ...\Simfit\bin folder. To run Simfit double click on the desktop icon. Use the [Configure], [Check], [Apply] options to configure the package. Other software: You need a PDF viewer such as sumatraPDF or Adobe Acrobat Reader, and GSview could be useful to view *.EPS files and transorm *.EPS into *.SVG. Simfit menu, Simfit home page Help Requests for help may be answered by: W.G.Bardsley University of Manchester Email: bill.bardsley@simfit.org.uk I unchangingly repair errors and will usually help simfit users, including subtracting new mathematical models to the library. Simfit menu, Simfit Home page