View source: R/translate.logit.R
translate.logit | R Documentation |
Performs a logit regression and then computes the effects of covariates expressed in percentages (through two methods: 'pure' effects and 'experimental' effects; see Deauvieau, 2010)
translate.logit(formula,data,nit=0)
formula |
an object of class |
data |
a data frame containing the variables in the model |
nit |
number of bootstrap iterations for confidence interval computation. Default is 0, i.e. no confidence interval is computed. |
This function works with binomial as well as multinomial regression models. If the dependant variable has two factors, glm
is used,
if it has more than two factors multinom
function (from nnet
package) is used.
The function expresses the regression coefficients as percentages through three distinct methods: raw percentages, 'pure effects' percentages and
'experimental effects' percentages (see Deauvieau, 2010). Bootstrap confidence interval are available only for binomial regressions.
The function returns a list:
glm |
An object of class |
summary |
The results of |
percents |
A matrix or a list of matrices (depending on the number of factors of the dependent variable) with regression coefficients expressed as percentages |
boot.ci |
A matrix or a list of matrices (depending on the number of factors of the dependent variable) with confidence intervals computed with bootstrap |
Nicolas Robette
Deauvieau, J. (2010), 'Comment traduire sous forme de probabilites les resultats d'une modelisation logit ?', Bulletin of Sociological Methodology / Bulletin de Methodologie Sociologique 105(1), 5-23.
Deauvieau, J. (2011), 'Est-il possible et souhaitable traduire sous forme de probabilites un coefficient logit ? Reponse aux remarques formulees par Marion Selz a propos de mon article paru dans le BMS en 2010', Bulletin of Sociological Methodology / Bulletin de Methodologie Sociologique 112(1), 32-42.
Deauvieau, J. (2019), 'Comparer les resultats d’un modele logit dichotomique ou polytomique entre plusieurs groupes a partir des probabilites estimees', Bulletin of Sociological Methodology / Bulletin de Methodologie Sociologique 142(1), 7-31.
glm
, multinom
## An example for binomial logit regression data(Music) translate.logit(Daily ~ Gender + Age, Music) ## An example for multinomial logit regression translate.logit(OnlyMus ~ Gender + Age, Music)
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