Displaying 7 results from an estimated 7 matches for "mylogit".
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mylogin
2011 Jan 27
2
Extrapolating values from a glm fit
...0.133333333333333, 0.238095238095238, 0.527777777777778,
0.566666666666667,
0.845238095238095, 0.55, 1, 0.888888888888889, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 0.5)
weight <-
c(1, 3, 2, 5, 4, 4, 3, 5, 5, 4, 5, 11, 22, 11, 15, 16, 11, 7,
14, 10, 16, 19, 11, 5, 4, 5, 6, 9, 4, 2, 5, 5, 2, 2)
mylogit <- glm(y~x,weights=weight, family = binomial)
# now I try plotting the predicted value, and it looks like a good fit,
hopefully I can access what the glm is doing
ypred <- predict(mylogit,newdata=as.data.frame(x),type="response")
plot(x, ypred,type="l")
points(x,y)
# so...
2017 Mar 22
3
GLM con clusters
Buenas tardes,
desde Uruguay, quiero realizar una regresión logística,con la función GLM,
pero ademas quiero designarle a las observaciones clusters.
La idea es decirle al programa que las observaciones corresponden a
diferentes clusters.
Saludos!
Sebastián.
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2017 Nov 11
1
effects package x axis labels
Dear All,
probably a simple enough solution but don;t seem to be able to get my head around it...example based on a publicly available data set:
mydata <- read.csv("https://stats.idre.ucla.edu/stat/data/binary.csv")
mylogit <- glm(admit ~ gre + gpa + rank, data = mydata, family = "binomial")
library(effects)
plot(allEffects(mylogit)
? ? ?,axes=list(y=list(lab="Prob(xyz)"))
)
axes=list(y=list(lab="Prob(xyz)")) changes the y axis labels for all 3 plots... Any thoughts on how I could cha...
2017 Mar 22
3
GLM con clusters
..., y con los resultados un análisis de
> clústers. Quizá lo mejor seria usar ambos métodos de predicción y comparar
> los resultados. Aún así, si te he entendido bien, entonces la manera de
> hacerlo sería: primero la regresión y luego recuperas las predicciones. Por
> ejemplo:
>
> mylogit <- glm(variable ~ ., data = df, family = "binomial") #Regresion
> logistica
>
> summary(mylogit) #Ves que tal ha quedado.
>
> Puedes recuperar las prediciones con 'mylogit$fitted.values' y las puedes
> poner en el dataframe original
>
> df$fitted <- m...
2012 May 11
3
Calculating all possible ratios
I have a data matrix with genes as columns and samples as rows. I want to
create all possible gene ratios.Is there an elegant and fast way to do it in
R and write it to a dataframe?
Thanks for any help.
Som.
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2012 Oct 23
3
Error in contrasts message when using logistic regression code.
I have a rather large data set (about 30 predictor variables)
I need to preform a logistic regression on this data. My response variable
is binary.
My code looks like this:
mylogit <- glm(Enrolled ~ A + B + C + ... + EE, data = data, family =
binomial(link="logit"))
with A,B,C, ... as my predictor variables. Some categorical, some
continuous, some binary.
I run the code and get this error:
Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) :...
2012 Jun 21
4
crosstable and regression for survey data (weighted)
I have survey data that I am working on. I need to make some multi-way tables
and regression analyses on the data. After attaching the data, this is the
code I use for tables for four variables (sweight is the weight variable):
> a <- xtabs(sweight~research.area + gender + a2n2 + age)
> tmp <- ftable(a)
Is this correct? I don't think I need to use the strata and cluster