# Memory statistic in c

The following C project contains the C source code and C examples used for memory statistic. this code show :the computer name,the memory availaible,percentage of loading..with timer

The following C project contains the C source code and C examples used for c series sample. This article shows how to write Series in C.
question always welcome........

The following C project contains the C source code and C examples used for c function sample. help beginner programmer how to write function in C, Hop this program may help.
waiting for your reply/comment/suggestion.

The following C project contains the C source code and C examples used for Histogram(2D). This will generate 2D-Bar chart according to the inputs given by the User.

The following java project contains the java source code and java examples used for image histogram processing. This is another project I have done last month.

The following Matlab project contains the source code and Matlab examples used for wilcoxon rank sum test and box plots for genes compounds etc in healthy vs. disease.
Perform a Wilcoxon rank-sum test or Mann-Whitney U-test (non-parametric test).

The following Matlab project contains the source code and Matlab examples used for performs fuzzy relational clustering using the frecca algorithm. .
Performs fuzzy relational clustering using the FRECCA algorithm. See Skabar, A. and Abdalgader, K. (2013) "Clustering sentence-level text using a novel fuzzy relational clustering algorithm". IEEE Transactions on Knowledge and Data Engineering, 25(1), 62-75.

The following Matlab project contains the source code and Matlab examples used for tukey's test of additivity for a two-way classification analysis of variance. .
Tukey's test of additivity for a two-way analysis of variance design with replication (can be equal or unequal sample sizes) or without replication.

The following Matlab project contains the source code and Matlab examples used for power estimation of a performed z test about mean(s). .
Estimates the statistical power of a performed Z test about mean(s). It recalls you the statistical result of the test you should have arrived. It only needs the Z statistic, specified direction and significance level (default = 0.05).

The following Matlab project contains the source code and Matlab examples used for sample size in tests for difference between two variances. .
Sample size required to achieve a specified test for difference between two variances, using the normal approximation.

The following Matlab project contains the source code and Matlab examples used for pearson chi square hypothesis test.
CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.

The following Matlab project contains the source code and Matlab examples used for bartlett's test for homogeneity of variances. .
Bartlett's test is developed to estimate whether more than two groups are homoscedastic. Bartlett's statistic is approximated by the chi-square distribution. The file needs the data matrix and the significance level.

The following Matlab project contains the source code and Matlab examples used for levene's test for homogeneity of variances. .
Levene's F test is used to test the null hypothesis that multiple population variances corresponding to multiplesamples are equal.

The following Matlab project contains the source code and Matlab examples used for welch's test for homogeneity of variances. .
Welch's test is developed to estimate whether more than two groups are homoscedastic. Also the Welch's test can be used as an alternative analysis of variance when samples variances are unequal.

The following Matlab project contains the source code and Matlab examples used for computes a two-way multivariate analysis of variance for equal or unequal sample sizes. .
Computing of a two-way multivariate analysis of variance for equal or unequal sample sizes by the testing of the mean differences in several variables among several samples with two factors.

The following Matlab project contains the source code and Matlab examples used for conover's two sample squared ranks test for equality of variance.
Performs the nonparametric squared ranks test on quality of variance for two samples.

The following Matlab project contains the source code and Matlab examples used for repeated measures two-way analysis of variance test. .
ANOVA with two within-subject variables is used to analyze the relationship between two independent variables and the dependent variable.

The following Matlab project contains the source code and Matlab examples used for repeated measures mixed two-way analysis of variance test. .
ANOVA with between- and within- subject variables (mixed) is used to analyze the relationship for designs that have a combination of between and within-subject variables.

The following Matlab project contains the source code and Matlab examples used for three-way analysis of variance with repeated measures on two factors test. .
This is a three-factor analysis of variance design in which there are repeated measures on two of the factors.

The following Matlab project contains the source code and Matlab examples used for robust experimental designs for generalized linear models.
Optimal experimental designs for generalized linear models (GLM) depend on the unknown coefficients, and two experiments having the same model but different coefficient values will typically have different optimal designs.

The following Matlab project contains the source code and Matlab examples used for upper percentiles squared mahalanobis distance critical value for test of single multivariate normal .
From the method given by Wilks (1963) and approaching to a F distribution function by the Yang and Lee (1987) formulation, we provide an m-file to get the critical value of the maximun squared Mahalanobis distance to detect outliers from a normal multivariate sample.

The following Matlab project contains the source code and Matlab examples used for adjustment of the f statistic by epsilon on repeated measures anova. .
Sphericity is an assumption of repeated measure ANOVA.

The following Matlab project contains the source code and Matlab examples used for profile analysis of multivariate repeated measures. .
Profile analysis is a special application of multivariate analysis of variance (MANOVA) in which several dependent variables are measured and they are all measured on the same scale.

The following Matlab project contains the source code and Matlab examples used for tukey's hsd multiple comparisons test among proportions. .
A statistical analysis used for count data is to compare the proportions of a binary outcome of interest for two or more groups.

The following Matlab project contains the source code and Matlab examples used for doornik-hansen omnibus multivariate (univariate) normality test. .
Doornik-Hansen (1994) introduce a multivariate version of the univariate omnibus test for normality of Shenton and Bowman (1977), based on the transformed skewness and kurtosis.

The following Matlab project contains the source code and Matlab examples used for anderson-darling k-sample procedure to test whether k sampled populations are identical. .
Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function.

The following Matlab project contains the source code and Matlab examples used for mann whitney wilcoxon test.
This file executes the non parametric Mann-Whitney-Wilcoxon test to evaluate the difference between unpaired samples.

The following Matlab project contains the source code and Matlab examples used for compute the anova for repeated measures and holm-sidak test for multiple comparisons if anova is pos .
This function executes the analysis of variance when subjects underwent
several treatments.

The following Matlab project contains the source code and Matlab examples used for descriptive statistic to characterize & compare data sets. .
Whereas standard deviation and variance are measures of absolute variance, the coefficient of variation is a measure of relative variance.

The following Matlab project contains the source code and Matlab examples used for intraclass correlation coefficient with confidence intervals.
Computes intraclass coefficients after the model ICC(2,1) given by Shrout & Fleiss (1979). Also computes confidence intervals and performs test for significant difference to a given value.