How to Fit an additive linear model data set anorexia package MASS R
1
Trying to use the package MASS with data set anorexia on R. I am trying to fit an additive linear model using 3 of the predictors I have been given. I have managed to import the data needed using this code
library(MASS)
data(anorexia)
head(anorexia)
summary(anorexia)
However I'm not sure how to fit an additive linear model the same as examples that I have been shown
r
asked Nov 12 at 18:47
pigzmalone
267
add a comment |
1
Trying to use the package MASS with data set anorexia on R. I am trying to fit an additive linear model using 3 of the predictors I have been given. I have managed to import the data needed using this code
library(MASS)
data(anorexia)
head(anorexia)
summary(anorexia)
However I'm not sure how to fit an additive linear model the same as examples that I have been shown
r
asked Nov 12 at 18:47
pigzmalone
267
1
This is an extremely broad question. What are the predictors? How many degrees of freedom do you want for each predictor? Are you trying to use a particular package to fit the model?
– Harro Cyranka
Nov 12 at 18:59
1
Where are these examples you are looking at?
– 42-
Nov 12 at 19:58
let me find the full question for you.
– pigzmalone
Nov 13 at 15:22
The data set anorexia in the R package MASS gives the data on weight change for 72 anorexic patients. For each patient it contains the Treat, treatment factor of three levels: ”Cont” (control), ”CBT” (Cognitive Behavioural treatment) and ”FT” (family treatment); Prewt, Weight of patient before study period, in lbs; and Postwt, Weight of patient after study period, in lbs. Fit an additive linear model for Postwt, using Treat and Prewt as predictors. Do diagnostics and comment on the fit.
– pigzmalone
Nov 13 at 15:23
im not sure what its actually asking me to exactly find as other examples i have been given use the anova function and this does not seem to apply here.
– pigzmalone
Nov 13 at 15:24
add a comment |
1
1
1
Trying to use the package MASS with data set anorexia on R. I am trying to fit an additive linear model using 3 of the predictors I have been given. I have managed to import the data needed using this code
library(MASS)
data(anorexia)
head(anorexia)
summary(anorexia)
However I'm not sure how to fit an additive linear model the same as examples that I have been shown
r
asked Nov 12 at 18:47
pigzmalone
267
Trying to use the package MASS with data set anorexia on R. I am trying to fit an additive linear model using 3 of the predictors I have been given. I have managed to import the data needed using this code
library(MASS)
data(anorexia)
head(anorexia)
summary(anorexia)
However I'm not sure how to fit an additive linear model the same as examples that I have been shown
r
r
asked Nov 12 at 18:47
pigzmalone
267
asked Nov 12 at 18:47
pigzmalone
267
asked Nov 12 at 18:47
pigzmalone
267
asked Nov 12 at 18:47
pigzmalone
267
asked Nov 12 at 18:47
pigzmalone
267
267
1
This is an extremely broad question. What are the predictors? How many degrees of freedom do you want for each predictor? Are you trying to use a particular package to fit the model?
– Harro Cyranka
Nov 12 at 18:59
1
Where are these examples you are looking at?
– 42-
Nov 12 at 19:58
let me find the full question for you.
– pigzmalone
Nov 13 at 15:22
The data set anorexia in the R package MASS gives the data on weight change for 72 anorexic patients. For each patient it contains the Treat, treatment factor of three levels: ”Cont” (control), ”CBT” (Cognitive Behavioural treatment) and ”FT” (family treatment); Prewt, Weight of patient before study period, in lbs; and Postwt, Weight of patient after study period, in lbs. Fit an additive linear model for Postwt, using Treat and Prewt as predictors. Do diagnostics and comment on the fit.
– pigzmalone
Nov 13 at 15:23
im not sure what its actually asking me to exactly find as other examples i have been given use the anova function and this does not seem to apply here.
– pigzmalone
Nov 13 at 15:24
add a comment |
1
This is an extremely broad question. What are the predictors? How many degrees of freedom do you want for each predictor? Are you trying to use a particular package to fit the model?
– Harro Cyranka
Nov 12 at 18:59
1
Where are these examples you are looking at?
– 42-
Nov 12 at 19:58
let me find the full question for you.
– pigzmalone
Nov 13 at 15:22
The data set anorexia in the R package MASS gives the data on weight change for 72 anorexic patients. For each patient it contains the Treat, treatment factor of three levels: ”Cont” (control), ”CBT” (Cognitive Behavioural treatment) and ”FT” (family treatment); Prewt, Weight of patient before study period, in lbs; and Postwt, Weight of patient after study period, in lbs. Fit an additive linear model for Postwt, using Treat and Prewt as predictors. Do diagnostics and comment on the fit.
– pigzmalone
Nov 13 at 15:23
im not sure what its actually asking me to exactly find as other examples i have been given use the anova function and this does not seem to apply here.
– pigzmalone
Nov 13 at 15:24
1
1
This is an extremely broad question. What are the predictors? How many degrees of freedom do you want for each predictor? Are you trying to use a particular package to fit the model?
– Harro Cyranka
Nov 12 at 18:59
This is an extremely broad question. What are the predictors? How many degrees of freedom do you want for each predictor? Are you trying to use a particular package to fit the model?
– Harro Cyranka
Nov 12 at 18:59
1
1
Where are these examples you are looking at?
– 42-
Nov 12 at 19:58
Where are these examples you are looking at?
– 42-
Nov 12 at 19:58
let me find the full question for you.
– pigzmalone
Nov 13 at 15:22
let me find the full question for you.
– pigzmalone
Nov 13 at 15:22
The data set anorexia in the R package MASS gives the data on weight change for 72 anorexic patients. For each patient it contains the Treat, treatment factor of three levels: ”Cont” (control), ”CBT” (Cognitive Behavioural treatment) and ”FT” (family treatment); Prewt, Weight of patient before study period, in lbs; and Postwt, Weight of patient after study period, in lbs. Fit an additive linear model for Postwt, using Treat and Prewt as predictors. Do diagnostics and comment on the fit.
– pigzmalone
Nov 13 at 15:23
The data set anorexia in the R package MASS gives the data on weight change for 72 anorexic patients. For each patient it contains the Treat, treatment factor of three levels: ”Cont” (control), ”CBT” (Cognitive Behavioural treatment) and ”FT” (family treatment); Prewt, Weight of patient before study period, in lbs; and Postwt, Weight of patient after study period, in lbs. Fit an additive linear model for Postwt, using Treat and Prewt as predictors. Do diagnostics and comment on the fit.
– pigzmalone
Nov 13 at 15:23
im not sure what its actually asking me to exactly find as other examples i have been given use the anova function and this does not seem to apply here.
– pigzmalone
Nov 13 at 15:24
im not sure what its actually asking me to exactly find as other examples i have been given use the anova function and this does not seem to apply here.
– pigzmalone
Nov 13 at 15:24
add a comment |
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1
This is an extremely broad question. What are the predictors? How many degrees of freedom do you want for each predictor? Are you trying to use a particular package to fit the model?
– Harro Cyranka
Nov 12 at 18:59
1
Where are these examples you are looking at?
– 42-
Nov 12 at 19:58
let me find the full question for you.
– pigzmalone
Nov 13 at 15:22
The data set anorexia in the R package MASS gives the data on weight change for 72 anorexic patients. For each patient it contains the Treat, treatment factor of three levels: ”Cont” (control), ”CBT” (Cognitive Behavioural treatment) and ”FT” (family treatment); Prewt, Weight of patient before study period, in lbs; and Postwt, Weight of patient after study period, in lbs. Fit an additive linear model for Postwt, using Treat and Prewt as predictors. Do diagnostics and comment on the fit.
– pigzmalone
Nov 13 at 15:23
im not sure what its actually asking me to exactly find as other examples i have been given use the anova function and this does not seem to apply here.
– pigzmalone
Nov 13 at 15:24