Concepts {r2lUniv} | R Documentation |
Here are some basic statiscal concepts used by r2lUniv. Just to be sure we are speaking about the same things...
Classically, statistics divide variables in four types. The classification is made according to some mathematical properties: 1) Are arithmetic operations possible? 2.a) Is there a natural order? 2.b) How many observations is there?
Due to these mathematical differences, statistical analyses and graphical representations of variables differ:
R classification is close to the r2lUniv basic classes but minor differences exist:
r2lUniv
asks R to perform automatically some analyses. The
variable [childNumber] deserves a barplot and not a histogram
whereas it is the opposite for [Weight]. For R, both of these
variables are numeric. So to get to an automatic treatment,
r2lUniv
needs
to set the class of [NumberOfChild] to Discrete
and the class of [Weight] to Continuous.
Here is a summary of the mapping of R classes into r2lUniv basic classes:
factor
becomes nominal
.
logical
becomes nominal
.
ordered
becomes ordinal
.
integer
or numeric
become either discrete
or continuous
. See r2lFindClass for details.
r2lUniv
asks R to perform automatically some analyses, then
generates a LaTeX code to be included in a document. This LaTeX code is
called LaTeX summary.
Christophe Genolini christophe.genolini@free.fr
INSERM U669, PSIGIAM
Paris Sud Innovation Group in Adolescent Mental Health
Jean-Marc Chamot (English correction)
UFR STAPS, Universite Paris X - Nanterre