search for: x_i1

The compositional data xi=(x_i1,x_i2,...,x_in), for each fixed i , xij>0, and sum(xij)=1; I want to compare the mean( u_i) of several groups i.e. H0: u_1=u_2=...=u_N or H0: u_11=u_21=...=u_N1 Are there any ANOVA tpye tools to do this work in R? Thanks, WEN S Q [[alternative HTML version deleted]]

Suppose I've got p vectors x1, ..., xp each of length n merged in a (n x p)-matrix X. Now I want to calculate the number of distinct values of row-vectors (x_i1, ..., x_ip). Is there a way to do this in R? Thanks in advance, Jan. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in...

Suppose I've got p vectors x1, ..., xp each of length n merged in a (n x p)-matrix X. Now I want to calculate the number of distinct values of row-vectors (x_i1, ..., x_ip). Is there a way to do this in R? Thanks in advance, Jan. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in...

...cbind(x[i, ], x[j, ]) y <- xx[, 1] * xx[, 4] - xx[, 2] * xx[, 3] z1 <- (xx[, 4] - xx[, 2]) z2 <- - (xx[, 3] - xx[, 1]) return(rq(y~cbind(z1, z2)-1)$coef) } To understand the strategy, note that the area of the triangle formed by the points x_i = (x_i1,x_i2), x_j = (x_j1,x_j2), and theta = (theta_1,theta_2) is given by the determinant, | 1 1 1 | Delta(x_i, x_j, theta) = .5 |y_i1 yj1 theta_1|. |y_i2 yj2 theta_2| Expanding the determinant in the unknown parameters theta gi...

The compositional data xi=(x_i1, x_i2,..., x_in), for each fixed i , xij>0, and sum(xij)=1; I want to compare the mean( u_i) of several groups i.e. H0: u_1=u_2=...=u_N or Hj0: u_1j=u_2j=...=u_Nj Are there any ANOVA tpye tools to do this work in R? Thanks, WEN S Q [[alternative HTML version deleted]]