| gds {gds} | R Documentation |
Descriptive statistics of grouped data: with the help of this package we calculate mean, median, mode, variance, standard deviation, coefficient of variance, quartiles, IQR, skewness, and kurtosis of grouped data.
Description
Descriptive statistics of grouped data: with the help of this package we calculate mean, median, mode, variance, standard deviation, coefficient of variance, quartiles, IQR, skewness, and kurtosis of grouped data.
Usage
gds(ll, ul, freq)
Arguments
ll |
A data vector to store lower limit of the classes |
ul |
A data vector to store upper limit of the classes |
freq |
A data vector to store the frequencies of the corresponding classes |
Value
gmean, gmedian, gmode, gvar, gstdev, gcv, gq1, gq2, gq3, gIQR, g1, g2
References
1. Gupta, S.P., and Gupta, M.P. (2005) Business statistics, Sultan Chand and Sons educational publishers, New Delhi.
2. Levine, D.M., Krehbiel, T.C., Bereson, M.L. and Viswanathan, P.K. (2011) Business statistics: a first course, 5th edition, Pearson.
3. Langford, E. (2006) Quartiles in Elementary Statistics, Journal of Statistics Education Volume 14, Number 3.
4. Das, N. G. (2010) Statistical Methods- Combined Edition (Volumes I & II), Tata McGraw Hill Education Private Limited, New Delhi.
Examples
gds(c(10,20,30,40,50),c(20,30,40,50,60),c(7,13,23,20,8))