How to fit a lm model with interaction terms for multiple datasets?
For fitting a lm model in R with all interaction terms included, we use the below method:
model1<-lm(resp~var1+var2+var3+var4, dataset)
I have multiple dataframes in a list object with different variables however target variable is in column2 for all dataframes. Now, I want to fit a lm model with all possible interaction terms for each dataframe in the list at a time (might be using for loop or using lapply - not sure). is there a way to achieve this in R?
Many thanks in advance.
r
edited Nov 15 '18 at 19:20
gfgm
2,673727
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
add a comment |
For fitting a lm model in R with all interaction terms included, we use the below method:
model1<-lm(resp~var1+var2+var3+var4, dataset)
I have multiple dataframes in a list object with different variables however target variable is in column2 for all dataframes. Now, I want to fit a lm model with all possible interaction terms for each dataframe in the list at a time (might be using for loop or using lapply - not sure). is there a way to achieve this in R?
Many thanks in advance.
r
edited Nov 15 '18 at 19:20
gfgm
2,673727
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
4
You might be able to achieve this using purrr but people would need to see more of the structure of your list object and the dataframes within them to be able to help further.
– slackline
Nov 15 '18 at 17:44
I see no interaction terms in that model.
– Parfait
Nov 15 '18 at 19:26
They could be built into the variables (say var3 = var1 * var2)
– mickey
Nov 15 '18 at 19:27
add a comment |
For fitting a lm model in R with all interaction terms included, we use the below method:
model1<-lm(resp~var1+var2+var3+var4, dataset)
I have multiple dataframes in a list object with different variables however target variable is in column2 for all dataframes. Now, I want to fit a lm model with all possible interaction terms for each dataframe in the list at a time (might be using for loop or using lapply - not sure). is there a way to achieve this in R?
Many thanks in advance.
r
edited Nov 15 '18 at 19:20
gfgm
2,673727
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
For fitting a lm model in R with all interaction terms included, we use the below method:
model1<-lm(resp~var1+var2+var3+var4, dataset)
I have multiple dataframes in a list object with different variables however target variable is in column2 for all dataframes. Now, I want to fit a lm model with all possible interaction terms for each dataframe in the list at a time (might be using for loop or using lapply - not sure). is there a way to achieve this in R?
Many thanks in advance.
r
r
edited Nov 15 '18 at 19:20
gfgm
2,673727
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
edited Nov 15 '18 at 19:20
gfgm
2,673727
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
edited Nov 15 '18 at 19:20
gfgm
2,673727
edited Nov 15 '18 at 19:20
gfgm
2,673727
edited Nov 15 '18 at 19:20
gfgm
2,673727
2,673727
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
asked Nov 15 '18 at 17:37
v. sudheer kumarv. sudheer kumar
1
1
4
You might be able to achieve this using purrr but people would need to see more of the structure of your list object and the dataframes within them to be able to help further.
– slackline
Nov 15 '18 at 17:44
I see no interaction terms in that model.
– Parfait
Nov 15 '18 at 19:26
They could be built into the variables (say var3 = var1 * var2)
– mickey
Nov 15 '18 at 19:27
add a comment |
4
You might be able to achieve this using purrr but people would need to see more of the structure of your list object and the dataframes within them to be able to help further.
– slackline
Nov 15 '18 at 17:44
I see no interaction terms in that model.
– Parfait
Nov 15 '18 at 19:26
They could be built into the variables (say var3 = var1 * var2)
– mickey
Nov 15 '18 at 19:27
4
4
You might be able to achieve this using purrr but people would need to see more of the structure of your list object and the dataframes within them to be able to help further.
– slackline
Nov 15 '18 at 17:44
You might be able to achieve this using purrr but people would need to see more of the structure of your list object and the dataframes within them to be able to help further.
– slackline
Nov 15 '18 at 17:44
I see no interaction terms in that model.
– Parfait
Nov 15 '18 at 19:26
I see no interaction terms in that model.
– Parfait
Nov 15 '18 at 19:26
They could be built into the variables (say var3 = var1 * var2)
– mickey
Nov 15 '18 at 19:27
They could be built into the variables (say var3 = var1 * var2)
– mickey
Nov 15 '18 at 19:27
add a comment |
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4
You might be able to achieve this using purrr but people would need to see more of the structure of your list object and the dataframes within them to be able to help further.
– slackline
Nov 15 '18 at 17:44
I see no interaction terms in that model.
– Parfait
Nov 15 '18 at 19:26
They could be built into the variables (say var3 = var1 * var2)
– mickey
Nov 15 '18 at 19:27