Hi,

I am new-comer to statistics and R-Project. I would like to know if these

features can be attained in R-Project.Please help.

1) beta 1 and Beta 2, or gamma one and gamma two for skewness and kurtosis,

respectively, including standard errors and tests for significance (relative

to values for a Gaussian distribution).

2) linear correlation

3) quadratic regression

4) polynomial regression

5) moving averages

6) chi-square for a two-by two table and for an n by m contingency table

7) moving averages - with various (e.g. exponential) weighting

8) cubic splines (smoothing, not interpolating)

9) other types of splines, e.g. 'linear' splines

10) erfc-1 inverse error function complement (i.e. tables of integrals of

the normal (Gaussian) curve, or mathematical approximations)

11) erfc error function complement

12) Table of significant values for t test at P < 0.01 one sided or two

sided - or polynomial approximation

13) Table of significance levels for chi square test

14) Table of significance levels for F distribution as arising in ANOVA

15) Confidence limits for binomial variables; possibly for multinomial

variables

Thanks and Regards

-Asif

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