search for: 1stq

...---- wool: B tension: L Min. 1st Qu. Median Mean 3rd Qu. Max. 14.00 20.00 29.00 28.22 31.00 44.00 --------------------------------------------------- …. And so on. I would like to convert this result in to a flat data.frame with variable names: Wool, Tension, Min, 1stQ, Median, Mean, 3rdQ, Max A, L , 25.00 26.00 51.00 44.56 54.00 70.00 B, L, 14.00 20.00 29.00 28.22 31.00 44.00 …. Although I’ve tried the argument “simplify=T” I haven’t been able to get this converted. Is there a simple way to achieve this? Thanks in advance!...

Hi all, I''ve got a simple contingency table produced with table(), and the upper and lower quartiles (quantile25 and quantile75) for the same dataset. Is there a function that tells me in which category does the value of the quartile falls into? for example: tabsp <- table(fam$I[fam$I>0]) 1 3 6 6 1 1 and for the cumulative frequency distribution tabcum <- cumsum(tabsp) 1 3