ktab.list.df: Creating a K-tables from a list of data frames.

In ade4: Analysis of Ecological Data : Exploratory and Euclidean Methods in Environmental Sciences

Description

creates a list of class ktab from a list of data frames

Usage

ktab.list.df(obj, rownames = NULL, colnames = NULL, tabnames = NULL, 
    w.row = rep(1, nrow(obj[[1]])), w.col = lapply(obj, function(x) 
    rep(1 / ncol(x), ncol(x))))

Arguments

obj	a list of data frame
rownames	the names of the K-tables rows (otherwise, the row names of the arrays)
colnames	the names of the K-tables columns (otherwise, the column names of the arrays)
tabnames	the names of the arrays of the K-tables (otherwise, the names of the obj if they exist, or else "Ana1", "Ana2", ...)
w.row	a vector of the row weightings in common with all the arrays
w.col	a list of the vector of the column weightings for each array

Details

Each element of the initial list have to possess the same names and row numbers

Value

returns a list of class ktab. See ktab

Author(s)

Daniel Chessel
Anne B Dufour [e-mail]

Examples

data(jv73)
l0 <- split(jv73$morpho, jv73$fac.riv)
l0 <- lapply(l0, function(x) data.frame(t(scalewt(x))))
kta <- ktab.list.df(l0)
kplot(sepan(kta[c(2, 5, 7, 10)]), perm = TRUE)

Example output

Warning messages:
1: In scalewt(x) : Variables with null variance not standardized.
2: In scalewt(x) : Variables with null variance not standardized.
3: In scalewt(x) : Variables with null variance not standardized.

ade4 documentation built on May 2, 2019, 5:50 p.m.