Extract dispersion parameter from quasibinomial glm and add to statistics in texreg table
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I used glm with family=quasibinomial to model a response variables with overdispersion. I now am making model comparison tables in texreg comparing different models. I want to include the dispersion parameter in the statistics at the bottom of the table.
Using summary() prints out the dispersion/scale parameter, so I know it is there, but I was hoping someone could help me get it into the texreg table?
The include.dispersion=TRUE doesn't seem to work, and in extract.glm the dispersion parameter doesn't show up. I am open to other table making packages or any other way to solve the problem.
reproduced.data<- structure(list(number_of_minutes = c(120L, 1L, 67L, 102L,
120L,120L, 120L, 120L, 55L, 120L), approach = c(60L, 1L, 15L, 29L,66L, 66L,
63L, 90L, 42L, 15L), male_species = structure(c(2L,2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L), .Label = c("speciesA", "speciesB"), class = "factor"),
female_species = structure(c(1L, 1L, 1L,1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label
= c("speciesA", "speciesB"), class = "factor"), courtship = c(89L, 1L, 4L,
5L, 4L, 2L,1L, 0L, 10L, 3L), abdomen_bending = c(64L, 1L, 3L, 2L, 2L, 0L,0L,
0L, 1L, 0L)), .Names = c("number_of_observations",
"behavior1","male_species", "female_species", "behavior2", "behavior3"),
row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame"))
model1=glm(cbind(behavior1,(number_of_observations-
behavior1))~female_species,data=reproduced.data,family=quasibinomial)
model2=glm(cbind(behavior2,(number_of_observations-
behavior2))~female_species,data=reproduced.data,family=quasibinomial)
htmlreg(list(model1,model2),
custom.model.names = c("Behavior1","Behavior2"),
label = "tab:5",
stars = c(0.05,0.01, 0.001),
dcolumn = TRUE,
booktabs = TRUE,
single.row = TRUE,
include.aic=FALSE,
include.bic=FALSE,
include.loglik=FALSE,
include.dispersion=TRUE,
caption="")
summary(model1)
r glm texreg
asked Nov 12 at 14:36
person
155
add a comment |
up vote
0
down vote
favorite
I used glm with family=quasibinomial to model a response variables with overdispersion. I now am making model comparison tables in texreg comparing different models. I want to include the dispersion parameter in the statistics at the bottom of the table.
Using summary() prints out the dispersion/scale parameter, so I know it is there, but I was hoping someone could help me get it into the texreg table?
The include.dispersion=TRUE doesn't seem to work, and in extract.glm the dispersion parameter doesn't show up. I am open to other table making packages or any other way to solve the problem.
reproduced.data<- structure(list(number_of_minutes = c(120L, 1L, 67L, 102L,
120L,120L, 120L, 120L, 55L, 120L), approach = c(60L, 1L, 15L, 29L,66L, 66L,
63L, 90L, 42L, 15L), male_species = structure(c(2L,2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L), .Label = c("speciesA", "speciesB"), class = "factor"),
female_species = structure(c(1L, 1L, 1L,1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label
= c("speciesA", "speciesB"), class = "factor"), courtship = c(89L, 1L, 4L,
5L, 4L, 2L,1L, 0L, 10L, 3L), abdomen_bending = c(64L, 1L, 3L, 2L, 2L, 0L,0L,
0L, 1L, 0L)), .Names = c("number_of_observations",
"behavior1","male_species", "female_species", "behavior2", "behavior3"),
row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame"))
model1=glm(cbind(behavior1,(number_of_observations-
behavior1))~female_species,data=reproduced.data,family=quasibinomial)
model2=glm(cbind(behavior2,(number_of_observations-
behavior2))~female_species,data=reproduced.data,family=quasibinomial)
htmlreg(list(model1,model2),
custom.model.names = c("Behavior1","Behavior2"),
label = "tab:5",
stars = c(0.05,0.01, 0.001),
dcolumn = TRUE,
booktabs = TRUE,
single.row = TRUE,
include.aic=FALSE,
include.bic=FALSE,
include.loglik=FALSE,
include.dispersion=TRUE,
caption="")
summary(model1)
r glm texreg
asked Nov 12 at 14:36
person
155
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I used glm with family=quasibinomial to model a response variables with overdispersion. I now am making model comparison tables in texreg comparing different models. I want to include the dispersion parameter in the statistics at the bottom of the table.
Using summary() prints out the dispersion/scale parameter, so I know it is there, but I was hoping someone could help me get it into the texreg table?
The include.dispersion=TRUE doesn't seem to work, and in extract.glm the dispersion parameter doesn't show up. I am open to other table making packages or any other way to solve the problem.
reproduced.data<- structure(list(number_of_minutes = c(120L, 1L, 67L, 102L,
120L,120L, 120L, 120L, 55L, 120L), approach = c(60L, 1L, 15L, 29L,66L, 66L,
63L, 90L, 42L, 15L), male_species = structure(c(2L,2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L), .Label = c("speciesA", "speciesB"), class = "factor"),
female_species = structure(c(1L, 1L, 1L,1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label
= c("speciesA", "speciesB"), class = "factor"), courtship = c(89L, 1L, 4L,
5L, 4L, 2L,1L, 0L, 10L, 3L), abdomen_bending = c(64L, 1L, 3L, 2L, 2L, 0L,0L,
0L, 1L, 0L)), .Names = c("number_of_observations",
"behavior1","male_species", "female_species", "behavior2", "behavior3"),
row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame"))
model1=glm(cbind(behavior1,(number_of_observations-
behavior1))~female_species,data=reproduced.data,family=quasibinomial)
model2=glm(cbind(behavior2,(number_of_observations-
behavior2))~female_species,data=reproduced.data,family=quasibinomial)
htmlreg(list(model1,model2),
custom.model.names = c("Behavior1","Behavior2"),
label = "tab:5",
stars = c(0.05,0.01, 0.001),
dcolumn = TRUE,
booktabs = TRUE,
single.row = TRUE,
include.aic=FALSE,
include.bic=FALSE,
include.loglik=FALSE,
include.dispersion=TRUE,
caption="")
summary(model1)
r glm texreg
asked Nov 12 at 14:36
person
155
I used glm with family=quasibinomial to model a response variables with overdispersion. I now am making model comparison tables in texreg comparing different models. I want to include the dispersion parameter in the statistics at the bottom of the table.
Using summary() prints out the dispersion/scale parameter, so I know it is there, but I was hoping someone could help me get it into the texreg table?
The include.dispersion=TRUE doesn't seem to work, and in extract.glm the dispersion parameter doesn't show up. I am open to other table making packages or any other way to solve the problem.
reproduced.data<- structure(list(number_of_minutes = c(120L, 1L, 67L, 102L,
120L,120L, 120L, 120L, 55L, 120L), approach = c(60L, 1L, 15L, 29L,66L, 66L,
63L, 90L, 42L, 15L), male_species = structure(c(2L,2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L), .Label = c("speciesA", "speciesB"), class = "factor"),
female_species = structure(c(1L, 1L, 1L,1L, 1L, 1L, 1L, 2L, 2L, 2L), .Label
= c("speciesA", "speciesB"), class = "factor"), courtship = c(89L, 1L, 4L,
5L, 4L, 2L,1L, 0L, 10L, 3L), abdomen_bending = c(64L, 1L, 3L, 2L, 2L, 0L,0L,
0L, 1L, 0L)), .Names = c("number_of_observations",
"behavior1","male_species", "female_species", "behavior2", "behavior3"),
row.names = c(NA, -10L), class = c("tbl_df", "tbl", "data.frame"))
model1=glm(cbind(behavior1,(number_of_observations-
behavior1))~female_species,data=reproduced.data,family=quasibinomial)
model2=glm(cbind(behavior2,(number_of_observations-
behavior2))~female_species,data=reproduced.data,family=quasibinomial)
htmlreg(list(model1,model2),
custom.model.names = c("Behavior1","Behavior2"),
label = "tab:5",
stars = c(0.05,0.01, 0.001),
dcolumn = TRUE,
booktabs = TRUE,
single.row = TRUE,
include.aic=FALSE,
include.bic=FALSE,
include.loglik=FALSE,
include.dispersion=TRUE,
caption="")
summary(model1)
r glm texreg
r glm texreg
asked Nov 12 at 14:36
person
155
asked Nov 12 at 14:36
person
155
asked Nov 12 at 14:36
person
155
asked Nov 12 at 14:36
person
155
asked Nov 12 at 14:36
person
155
155
add a comment |
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