Optional function arguments












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I am looking at the traincontrol() function in R.



when you use the help function (?traincontrol), how can you tell which arguments are optional/have a default value?










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  • 1




    If it has a default value, it is optional. If it says it is optional, it is optional. Otherwise, you must assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:47












  • You can tell if an argument has a default value by seeing if there is an =. For instance, lm(..., data, ...) has no default value, so does not appear optional by that formal definition, but the help page says this is "an optional data frame". lm(..., model=TRUE,...) has a default value of TRUE, so if you do nothing it will be "true". lm(formula, ...) has no =, and does not mention optional in the description, so you should assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:57










  • If you look at the Usage part of the documentation (help("trainControl")) you can see a call of the function with all its arguments. The values shown in the Usage part are the arguments default value. If an argument has no default value it has to be defined. Every argument that has a default value does not have to be defined by you. You can check if an argument is optional in the Arguments section. For example in trainControl the argument indexFinal is an optional vector.
    – FloSchmo
    Nov 12 '18 at 7:00
















0














I am looking at the traincontrol() function in R.



when you use the help function (?traincontrol), how can you tell which arguments are optional/have a default value?










share|improve this question




















  • 1




    If it has a default value, it is optional. If it says it is optional, it is optional. Otherwise, you must assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:47












  • You can tell if an argument has a default value by seeing if there is an =. For instance, lm(..., data, ...) has no default value, so does not appear optional by that formal definition, but the help page says this is "an optional data frame". lm(..., model=TRUE,...) has a default value of TRUE, so if you do nothing it will be "true". lm(formula, ...) has no =, and does not mention optional in the description, so you should assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:57










  • If you look at the Usage part of the documentation (help("trainControl")) you can see a call of the function with all its arguments. The values shown in the Usage part are the arguments default value. If an argument has no default value it has to be defined. Every argument that has a default value does not have to be defined by you. You can check if an argument is optional in the Arguments section. For example in trainControl the argument indexFinal is an optional vector.
    – FloSchmo
    Nov 12 '18 at 7:00














0












0








0







I am looking at the traincontrol() function in R.



when you use the help function (?traincontrol), how can you tell which arguments are optional/have a default value?










share|improve this question















I am looking at the traincontrol() function in R.



when you use the help function (?traincontrol), how can you tell which arguments are optional/have a default value?







r






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share|improve this question













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edited Nov 12 '18 at 7:33









jogo

9,84692135




9,84692135










asked Nov 12 '18 at 6:46









FIC

163




163








  • 1




    If it has a default value, it is optional. If it says it is optional, it is optional. Otherwise, you must assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:47












  • You can tell if an argument has a default value by seeing if there is an =. For instance, lm(..., data, ...) has no default value, so does not appear optional by that formal definition, but the help page says this is "an optional data frame". lm(..., model=TRUE,...) has a default value of TRUE, so if you do nothing it will be "true". lm(formula, ...) has no =, and does not mention optional in the description, so you should assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:57










  • If you look at the Usage part of the documentation (help("trainControl")) you can see a call of the function with all its arguments. The values shown in the Usage part are the arguments default value. If an argument has no default value it has to be defined. Every argument that has a default value does not have to be defined by you. You can check if an argument is optional in the Arguments section. For example in trainControl the argument indexFinal is an optional vector.
    – FloSchmo
    Nov 12 '18 at 7:00














  • 1




    If it has a default value, it is optional. If it says it is optional, it is optional. Otherwise, you must assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:47












  • You can tell if an argument has a default value by seeing if there is an =. For instance, lm(..., data, ...) has no default value, so does not appear optional by that formal definition, but the help page says this is "an optional data frame". lm(..., model=TRUE,...) has a default value of TRUE, so if you do nothing it will be "true". lm(formula, ...) has no =, and does not mention optional in the description, so you should assume it is mandatory.
    – r2evans
    Nov 12 '18 at 6:57










  • If you look at the Usage part of the documentation (help("trainControl")) you can see a call of the function with all its arguments. The values shown in the Usage part are the arguments default value. If an argument has no default value it has to be defined. Every argument that has a default value does not have to be defined by you. You can check if an argument is optional in the Arguments section. For example in trainControl the argument indexFinal is an optional vector.
    – FloSchmo
    Nov 12 '18 at 7:00








1




1




If it has a default value, it is optional. If it says it is optional, it is optional. Otherwise, you must assume it is mandatory.
– r2evans
Nov 12 '18 at 6:47






If it has a default value, it is optional. If it says it is optional, it is optional. Otherwise, you must assume it is mandatory.
– r2evans
Nov 12 '18 at 6:47














You can tell if an argument has a default value by seeing if there is an =. For instance, lm(..., data, ...) has no default value, so does not appear optional by that formal definition, but the help page says this is "an optional data frame". lm(..., model=TRUE,...) has a default value of TRUE, so if you do nothing it will be "true". lm(formula, ...) has no =, and does not mention optional in the description, so you should assume it is mandatory.
– r2evans
Nov 12 '18 at 6:57




You can tell if an argument has a default value by seeing if there is an =. For instance, lm(..., data, ...) has no default value, so does not appear optional by that formal definition, but the help page says this is "an optional data frame". lm(..., model=TRUE,...) has a default value of TRUE, so if you do nothing it will be "true". lm(formula, ...) has no =, and does not mention optional in the description, so you should assume it is mandatory.
– r2evans
Nov 12 '18 at 6:57












If you look at the Usage part of the documentation (help("trainControl")) you can see a call of the function with all its arguments. The values shown in the Usage part are the arguments default value. If an argument has no default value it has to be defined. Every argument that has a default value does not have to be defined by you. You can check if an argument is optional in the Arguments section. For example in trainControl the argument indexFinal is an optional vector.
– FloSchmo
Nov 12 '18 at 7:00




If you look at the Usage part of the documentation (help("trainControl")) you can see a call of the function with all its arguments. The values shown in the Usage part are the arguments default value. If an argument has no default value it has to be defined. Every argument that has a default value does not have to be defined by you. You can check if an argument is optional in the Arguments section. For example in trainControl the argument indexFinal is an optional vector.
– FloSchmo
Nov 12 '18 at 7:00












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