soc.mca: soc.mca 'soc.mca' performs a specific multiple correspondence...

In Rsoc/soc.ca: Specific Correspondence Analysis for the Social Sciences

soc.mca soc.mca performs a specific multiple correspondence analysis on a data.frame of factors, where cases are rows and columns are variables.

Description

Specific Multiple Correspondence Analysis

Usage

soc.mca(
  active,
  sup = NULL,
  identifier = NULL,
  passive = getOption("passive", default = "Missing"),
  weight = NULL,
  Moschidis = FALSE,
  detailed.results = FALSE
)

Arguments

active	Defines the active modalities in a data.frame with rows of individuals and columns of factors, without NA's'. Active can also be a named list of data.frames. The data.frames will correspond to the analytical headings.
sup	Defines the supplementary modalities in a data.frame with rows of individuals and columns of factors, without NA's
identifier	A single vector containing a single value for each row/individual in x and sup. Typically a name or an id.number.
passive	A single character vector with the full or partial names of the passive modalities. All names that have a full or partial match will be set as passive.
weight	a numeric vector with the weights for the individual rows. The weight is normalized afterwards.
Moschidis	If TRUE adjusts contribution values for rare modalities. see moschidis.
detailed.results	If FALSE the result object is trimmed to reduce its memory footprint.

Value

nd	Number of active dimensions
n.ind	The number of active individuals
n.mod	The number of active modalities
eigen	Eigenvectors
total.inertia	The sum of inertia
adj.inertia	A matrix with all active dimensions, adjusted and unadjusted inertias. See variance
freq.mod	Frequencies for the active modalities. See add.to.label
freq.sup	Frequencies for the supplementary modalities. See add.to.label
ctr.mod	A matrix with the contribution values of the active modalities per dimension. See contribution
ctr.ind	A matrix with the contribution values of the individuals per dimension.
cor.mod	The correlation or quality of each modality per dimension.
cor.ind	The correlation or quality of each individual per dimension.
mass.mod	The mass of each modality
coord.mod	A matrix with the principal coordinates of each active modality per dimension.
coord.ind	A matrix with the principal coordinates of each individual per dimension.
coord.sup	A matrix with the principal coordinates of each supplementary modality per dimension.
names.mod	The names of the active modalities
labels.mod	The shorter labels of the active modalities
names.ind	The names of the individuals
names.sup	The names of the supplementary modalities
names.passive	The names of the passive modalities
modal	A matrix with the number of modalities per variable and their location
variable	A character vector with the name of the variable of the active modalities
Rosenlund.tresh	A numeric vector with the contribution values adjusted with the Rosenlund threshold, see: see p 92 in: Rosenlund, Lennart. Exploring the City with Bourdieu: Applying Pierre Bourdieu’s Theories and Methods to Study the Community. Saarbrücken: VDM Verlag Dr. Müller, 2009.
t.test.sup	A matrix with a the student t-test of the coordinates of the supplementary variables
Share.of.var	A matrix the share of variance for each variable

Author(s)

Anton Grau Larsen

Jacob Lunding

Stefan Bastholm Andrade

Christoph Ellersgaard

References

Le Roux, B., og H. Rouanet. 2010. Multiple correspondence analysis. Thousand Oaks: Sage.

See Also

soc.csa, contribution

Examples

# Loads the "taste" dataset included in this package
data(taste)
# Create a data frame of factors containing all the active variables 
taste          <- taste[which(taste$Isup == 'Active'), ]

attach(taste)
active         <- data.frame(TV, Film, Art, Eat)
sup            <- data.frame(Gender, Age, Income)
detach(taste)

# Runs the analysis
result         <- soc.mca(active, sup)

# Prints the results
result

# A specific multiple correspondence analysis
# options defines what words or phrases that are looked for in the labels of the active modalities.
options(passive = c("Film: CostumeDrama", "TV: Tv-Sport"))
soc.mca(active, sup)
options(passive = NULL)

Rsoc/soc.ca documentation built on March 7, 2024, 8:59 p.m.