scalewt {ade4} | R Documentation |
These utility functions compute (weighted) means, variances and covariances for dataframe partitioned by a factor. The scale transforms a numeric matrix in a centred and scaled matrix for any weighting.
covwt(x, wt, na.rm = FALSE) varwt(x, wt, na.rm = FALSE) scalewt(df, wt = rep(1/nrow(df), nrow(df)), center = TRUE, scale = TRUE) meanfacwt(df, fac = NULL, wt = rep(1/nrow(df), nrow(df)), drop = FALSE) varfacwt(df, fac = NULL, wt = rep(1/nrow(df), nrow(df)), drop = FALSE) covfacwt(df, fac = NULL, wt = rep(1/nrow(df), nrow(df)), drop = FALSE) scalefacwt(df, fac = NULL, wt = rep(1/nrow(df), nrow(df)), scale = TRUE, drop = FALSE)
x |
a numeric vector ( |
na.rm |
a logical value indicating whether NA values should be stripped before the computation proceeds. |
df |
a matrix or a dataframe containing the data. |
fac |
a factor partitioning the data. |
wt |
a numeric vector of weights. |
drop |
a logical value indicating whether unused levels should be kept. |
scale |
a logical value indicating whether data should be scaled or not. |
center |
a logical value indicating whether data should be centered or not. |
Functions returns biased estimates of variances and covariances (i.e. divided by n and not n-1)
For varwt
, the weighted variance. For covwt
,
the matrix of weighted co-variances. For scalewt
, the scaled
dataframe. For other function a list (if fac
is not null) of dataframes with approriate values
Stephane Dray stephane.dray@univ-lyon1.fr
data(meau) w <- rowSums(meau$spe) varwt(meau$env, w) varfacwt(meau$env, wt = w) varfacwt(meau$env, wt = w, fac = meau$design$season) covfacwt(meau$env, wt = w, fac = meau$design$season) scalewt(meau$env, wt = w)