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Code Listing by Antonio Trujillo-Ortiz

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This m-file gives the atomic weight of any element or molecular weight of any chemical species.

species = (cell array)
The species is the 'formula'.

Atomic weight of any element or molecular weight of any chemical

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).

Henze and Zirkler (1990) introduce a multivariate version of the univariate There are many tests for assessing the multivariate normality in the statistical literature (Mecklin and Mundfrom, 2003). Unfortunately, there is no known uniformly most...

This m-file is used in experiments involving several factors where it is necessary to investigate the joint effects (main and interactions) of the factors on a response variable and determine by a formal analysis of variance which factor effects...

Calculates the Mardia's multivariate skewness and kurtosis coefficients as well as their corresponding statistical tests. For large sample size the multivariate skewness is asymptotically distributed as a Chi-square random variable; here it is...

On the literature there are available several tests of the multivariate normality (ca. 50). Among them is the graphic approach based on a chi-square quantile-quantile plot of the observations' squared Mahalanobis distances. Besides the graphic q-q...

It is well known that many multivariate statistical procedures call upon the assumption of multivariate normality (MVN). At least 50 different procedures have been proposed for this problem. Unfortunately, different conclusions about the MVN of a...

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is...

The Anderson-Darling test (Anderson and Darling, 1952) is used to test if a sample of data comes from a specific distribution. It is a modification of the Kolmogorov-Smirnov (K-S) test and gives more weight to the tails than the K-S test. The K-S...

Besides the power estimation it makes the hypothesis testing concerning the one-sample variance. The function only needs the sample variance, the sample size, the hypothesized value and the significance level.