For language translation, use something like options(SciViews.lang = "fr")
instead of options(data.io.lang = "fr")
in all SciViews packages.
SciViews::R
: no fancy characters?
na.omit()
-> na_omit()
and co + complete_cases()
.
Plot functions issue warnings for unknown arguments
file_head()
attrNames()
or attr_names()
like slotNames()
unscale()
to revert the effect of scale()
?
is.wholenumber()
otherxxx.
functions for those using na.rm = FALSE
like mean()
, median()
, sd()
, var()
, quantile()
, fivenum()
, ...
Refine panel.xxx()
functions to avoid warning in case we provide non-par arguments to pairs()
and design a better mechanism to define default (colors, line type and weight, etc.).
For PCA, look at ade4 (dudi.pca => c("pca", "dudi"), ellipse, area), FactoMineR (PCA), rrcov (Pca), pcaMethods (PcaRes), psych, nFactors, vegan, rda = special case of pca => c("rda", "cca")), pcaPP, chemometrics (cross-validation), BiodiversityR (broken-stick = PCAsignificance + variable importance = ordiequilibriumCircle) and labdsv packages => how to sort all this and make something coherent with our pcomp object and methods? See also zoonek znd http://www.statmethods.net/advstats/factor.html.
For correspondence analysis, see 'ca' package.
Analyze this: http://obeautifulcode.com/R/How-R-Searches-And-Finds-Stuff/
Translation of this package.
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