Re: [R] simple question on data frames assignment

2016-04-08 Thread ruipbarradas
Hello,

   You're right, sorry, I missed the parenthesis:

   colordata$response <- (colordata$color == 'blue') + 0

   Rui Barradas

Quoting Michael Artz :
> Fyi, This statement returned the following error    
> 'Error in "Yes" + 0 : non-numeric argument to binary operator'
>
>
> On Thu, Apr 7, 2016 at 8:43 AM,  wrote:
>>
>> Hello,
>>
>>Or even simpler, without ifelse,
>>
>>colordata$response <- colordata$color == 'blue' + 0
>>
>>Hope this helps,
>>
>>Rui Barradas
>> 
>>
>> Citando David Barron :
>>>
>>> ifelse is vectorised, so just use that without the loop.
>>>
>>>   colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>>>
>>>   David
>>>
>>>   On 7 April 2016 at 12:41, Michael Artz  
>>>  wrote:

 Hi I'm not sure how to ask this, but its a very easy question to  
 answer for
an R person.

What is an easy way to check for a column value and  
 then assigne a new
column a value based on that old column value?

For example, Im doing
colordata <- data.frame(id = c(1,2,3,4,5), color =  
 c("blue", "red",
"green", "blue", "orange"))
for (i in 1:nrow(colordata)){
   colordata$response[i] <-  
 ifelse(colordata[i,"color"] == "blue", 1, 0)
}

which works,  but I don't want to use the for loop I  
 want to "vecotrize"
this.  How would this be implemented?

        [[alternative HTML version deleted]]

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>>>PLEASE do read the posting guide  
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>>> minimal, self-contained, reproducible code.
>>
>>
>> 
>>
>>
>
>
>

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Re: [R] simple question on data frames assignment

2016-04-08 Thread PIKAL Petr
Hi

> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Michael
> Artz
> Sent: Friday, April 8, 2016 3:50 AM
> To: Hadley Wickham 
> Cc: r-help@r-project.org
> Subject: Re: [R] simple question on data frames assignment
>
> Why am I better off with true and false?

I believe that because logical values can be transfered to numbers easily and 
you can use them directly to subset your object without any issue with 
numerical precision.

Cheers
Petr


>
> On Thu, Apr 7, 2016 at 8:41 AM, Hadley Wickham 
> wrote:
>
> > == is also vectorised, and you're better off with TRUE and FALSE
> > rather than 1 and 0, so I'd recommend:
> >
> > colordata$response <- colordata$color == 'blue'
> >
> > Hadley
> >
> > On Thu, Apr 7, 2016 at 6:52 AM, David Barron 
> wrote:
> > > ifelse is vectorised, so just use that without the loop.
> > >
> > > colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
> > >
> > > David
> > >
> > > On 7 April 2016 at 12:41, Michael Artz  wrote:
> > >
> > >> Hi I'm not sure how to ask this, but its a very easy question to
> > >> answer
> > for
> > >> an R person.
> > >>
> > >> What is an easy way to check for a column value and then assigne a
> > >> new column a value based on that old column value?
> > >>
> > >> For example, Im doing
> > >>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue",
> > >> "red", "green", "blue", "orange"))  for (i in 1:nrow(colordata)){
> > >>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue",
> > >> 1, 0)  }
> > >>
> > >> which works,  but I don't want to use the for loop I want to "vecotrize"
> > >> this.  How would this be implemented?
> > >>
> > >> [[alternative HTML version deleted]]
> > >>
> > >> __
> > >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > >> https://stat.ethz.ch/mailman/listinfo/r-help
> > >> PLEASE do read the posting guide
> > >> http://www.R-project.org/posting-guide.html
> > >> and provide commented, minimal, self-contained, reproducible code.
> > >>
> > >
> > > [[alternative HTML version deleted]]
> > >
> > > __
> > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > > https://stat.ethz.ch/mailman/listinfo/r-help
> > > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > > and provide commented, minimal, self-contained, reproducible code.
> >
> >
> >
> > --
> > http://hadley.nz
> >
>
>   [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.


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Re: [R] simple question on data frames assignment

2016-04-08 Thread PIKAL Petr
Hi

The question does not make much sense so as your code. Maybe you shall spend 
some time with R tutorials.


1.   lapply or sapply is basically hidden cycle

2.   function shall return something, yours does not

So if you want some binary outcome from a vector you can use e.g.

f <- function(vector, token) {
response <- vector==token
response
}

So with your colordata

> colordata
  id  color
1  1   blue
2  2red
3  3  green
4  4   blue
5  5 orange

You can get this

> colordata$result <- f(colordata$color, "blue")
> colordata
  id  color result
1  1   blue   TRUE
2  2red  FALSE
3  3  green  FALSE
4  4   blue   TRUE
5  5 orange  FALSE

or if you insist on numbers you can transfer it easily.

> colordata$result*1
[1] 1 0 0 1 0

But why do you want to use lapply or sapply is a mystery to me.

Do you have several columns and you want to use same function to those columns? 
This is probably the only case I can think of using lapply with such function.

Or you want to change each colour name to some corresponding number? If column 
colour is a factor it already consists from unique numbers (as I mentioned in 
previous response).

Maybe you shall use dput(yourdata) output together with desired result to help 
us better understand your task.

Cheers
Petr


From: Michael Artz [mailto:michaelea...@gmail.com]
Sent: Thursday, April 7, 2016 4:17 PM
To: PIKAL Petr 
Subject: Re: [R] simple question on data frames assignment

what about sapply?   I guess I am not sure how to iterate with sapply() and a 
function like the following

>>The below function does not work, I want to have a function that  I can use 
>>for sapply() later
f <- function(x) {
  response <- ifelse(x[,"Churn"] == "blue", 1, 0)
}

sapply(colordata$color, f(x))

does that question make sense?  I just want to have a function that I can pass 
to sapply()

On Thu, Apr 7, 2016 at 7:44 AM, PIKAL Petr 
mailto:petr.pi...@precheza.cz>> wrote:
Hi

> -Original Message-
> From: R-help 
> [mailto:r-help-boun...@r-project.org<mailto:r-help-boun...@r-project.org>] On 
> Behalf Of Michael
> Artz
> Sent: Thursday, April 7, 2016 1:57 PM
> To: David Barron mailto:dnbar...@gmail.com>>
> Cc: r-help@r-project.org<mailto:r-help@r-project.org>
> Subject: Re: [R] simple question on data frames assignment
>
> Thaks so much!  And how would you incorporate lapply() here?

Why do you want to use lapply? What is a result you want to achieve?

Actually color is factor and it has a numeric value "inside".

> as.numeric(colordata$color)
[1] 1 4 2 1 3

Cheers
Petr

>
> On Thu, Apr 7, 2016 at 6:52 AM, David Barron 
> mailto:dnbar...@gmail.com>> wrote:
>
> > ifelse is vectorised, so just use that without the loop.
> >
> > colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
> >
> > David
> >
> > On 7 April 2016 at 12:41, Michael Artz 
> > mailto:michaelea...@gmail.com>> wrote:
> >
> >> Hi I'm not sure how to ask this, but its a very easy question to
> >> answer for an R person.
> >>
> >> What is an easy way to check for a column value and then assigne a
> >> new column a value based on that old column value?
> >>
> >> For example, Im doing
> >>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
> >> "green", "blue", "orange"))  for (i in 1:nrow(colordata)){
> >>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1,
> >> 0)  }
> >>
> >> which works,  but I don't want to use the for loop I want to "vecotrize"
> >> this.  How would this be implemented?
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> __
> >> R-help@r-project.org<mailto:R-help@r-project.org> mailing list -- To 
> >> UNSUBSCRIBE and more, see
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide
> >> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >>
> >
> >
>
>   [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org<mailto:R-help@r-project.org> mailing list -- To 
> UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.

Tento e-mail a jakék

Re: [R] simple question on data frames assignment

2016-04-07 Thread Michael Artz
Why am I better off with true and false?

On Thu, Apr 7, 2016 at 8:41 AM, Hadley Wickham  wrote:

> == is also vectorised, and you're better off with TRUE and FALSE
> rather than 1 and 0, so I'd recommend:
>
> colordata$response <- colordata$color == 'blue'
>
> Hadley
>
> On Thu, Apr 7, 2016 at 6:52 AM, David Barron  wrote:
> > ifelse is vectorised, so just use that without the loop.
> >
> > colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
> >
> > David
> >
> > On 7 April 2016 at 12:41, Michael Artz  wrote:
> >
> >> Hi I'm not sure how to ask this, but its a very easy question to answer
> for
> >> an R person.
> >>
> >> What is an easy way to check for a column value and then assigne a new
> >> column a value based on that old column value?
> >>
> >> For example, Im doing
> >>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
> >> "green", "blue", "orange"))
> >>  for (i in 1:nrow(colordata)){
> >>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
> >>  }
> >>
> >> which works,  but I don't want to use the for loop I want to "vecotrize"
> >> this.  How would this be implemented?
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> __
> >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide
> >> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >>
> >
> > [[alternative HTML version deleted]]
> >
> > __
> > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
> http://hadley.nz
>

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread Michael Artz
Fyi, This statement returned the following error

'Error in "Yes" + 0 : non-numeric argument to binary operator'

On Thu, Apr 7, 2016 at 8:43 AM,  wrote:

> Hello,
>
> Or even simpler, without ifelse,
>
> colordata$response <- colordata$color == 'blue' + 0
>
> Hope this helps,
>
> Rui Barradas
>
>
> Citando David Barron :
>
> ifelse is vectorised, so just use that without the loop.
>
> colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>
> David
>
> On 7 April 2016 at 12:41, Michael Artz  wrote:
>
> Hi I'm not sure how to ask this, but its a very easy question to answer for
> an R person.
>
> What is an easy way to check for a column value and then assigne a new
> column a value based on that old column value?
>
> For example, Im doing
> colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
> "green", "blue", "orange"))
> for (i in 1:nrow(colordata)){
>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
> }
>
> which works,  but I don't want to use the for loop I want to "vecotrize"
> this.  How would this be implemented?
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.htmland provide commented,
> minimal, self-contained, reproducible code.
>
>
>
>

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread Michael Artz
It all makes so much sense now

On Thu, Apr 7, 2016 at 10:04 AM, Jeff Newmiller 
wrote:

> lapply(colordata2[ -1 ], f )
>
> When you put the parentheses on, you are calling the function yourself
> before lapply gets a chance. The error pops up because you are giving a
> vector of numbers (the answer f gave you) to the second argument of lapply
> instead of a function.
> --
> Sent from my phone. Please excuse my brevity.
>
> On April 7, 2016 7:31:18 AM PDT, Michael Artz 
> wrote:
>>
>> If you are not using an anonymous function and say you had written the
>> function out
>>
>> The below gives me the error > 'f(colordata2$color1)' is not a function,
>> character or symbol'  But then how is the anonymous function working?
>>
>>
>> f <- function(col){
>>   ifelse(col == 'blue', 1, 0)
>> }
>> responses <- lapply(colordata2[ -1 ], f(colordata2$color1) )
>>
>> 'f(colordata2$color1)' is not a function, character or symbol'
>>
>> then how could you then use this fuction in lapply if not for the
>> anonymous function?
>>
>> On Thu, Apr 7, 2016 at 8:17 AM, Jeff Newmiller 
>> wrote:
>>
>>> Lapply is not a vectorized function. It is compact to read, but it would
>>> not be worth using for this calculation.
>>>
>>> However, if your data frame had multiple color columns in your data
>>> frame that you wanted to make responses for then you might want to use
>>> lapply as a more compact version of a for loop to repeat this operation.
>>>
>>> colordata2 <- data.frame(id = c(1,2,3,4,5), color1 = c("blue", "red",
>>> "green", "blue", "orange"), color2 = c("orange", "green",
>>> "blue", "red", "red"))
>>> responses <- lapply( colordata2[ -1 ], function(col) { ifelse(col ==
>>> 'blue', 1, 0) } )
>>> names(responses) <- names( colordata2 )[-1]
>>>
>>> where each of the columns other than the first is handed in turn to the
>>> anonymous function that does the response calculation. The result is a data
>>> frame (list of columns) with no column names, so I give the new columns
>>> names based on the old column names. You could choose different names, e.g.
>>>
>>> names(responses) <- paste0( "response", 1:2 )
>>>
>>> but you have to be careful to fix that code whenever you change the
>>> colordata2 data frame to have more columns.
>>> --
>>> Sent from my phone. Please excuse my brevity.
>>>
>>> On April 7, 2016 4:57:04 AM PDT, Michael Artz 
>>> wrote:

 Thaks so much!  And how would you incorporate lapply() here?

 On Thu, Apr 7, 2016 at 6:52 AM, David Barron  wrote:

  ifelse is vectorised, so just use that without the loop.
>
>  colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>
>  David
>
>  On 7 April 2016 at 12:41, Michael Artz  wrote:
>
>  Hi I'm not sure how to ask this, but its a very easy question to answer
>>  for
>>  an R person.
>>
>>  What is an easy way to check for a column value and
>> then assigne a new
>>  column a value based on that old column value?
>>
>>  For example, Im doing
>>   colordata <- data.frame(id = c(1,2,3,4,5),
>> color = c("blue", "red",
>>  "green", "blue", "orange"))
>>   for (i in 1:nrow(colordata)){
>> colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
>>   }
>>
>>  which works,  but I don't want to use the for loop I want to "vecotrize"
>>  this.  How would this be implemented?
>>
>>  [[alternative HTML version deleted]]
>>
>> --
>>
>>  R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>  https://stat.ethz.ch/mailman/listinfo/r-help
>>  PLEASE do read the posting guide
>>  http://www.R-project.org/posting-guide.html
>>  and provide commented, minimal, self-contained, reproducible
>> code.
>
>
>

  [[alternative HTML version deleted]]

 --

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 https://stat.ethz.ch/mailman/listinfo/r-help
 PLEASE do read the posting guide 
 http://www.R-project.org/posting-guide.html
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>>

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread Jeff Newmiller
lapply(colordata2[ -1 ], f )

When you put the parentheses on, you are calling the function yourself before 
lapply gets a chance. The error pops up because you are giving a vector of 
numbers (the answer f gave you) to the second argument of lapply instead of a 
function. 
-- 
Sent from my phone. Please excuse my brevity.

On April 7, 2016 7:31:18 AM PDT, Michael Artz  wrote:
>If you are not using an anonymous function and say you had written the
>function out
>
>The below gives me the error > 'f(colordata2$color1)' is not a
>function,
>character or symbol'  But then how is the anonymous function working?
>
>
>f <- function(col){
>  ifelse(col == 'blue', 1, 0)
>}
>responses <- lapply(colordata2[ -1 ], f(colordata2$color1) )
>
>'f(colordata2$color1)' is not a function, character or symbol'
>
>then how could you then use this fuction in lapply if not for the
>anonymous
>function?
>
>On Thu, Apr 7, 2016 at 8:17 AM, Jeff Newmiller
>
>wrote:
>
>> Lapply is not a vectorized function. It is compact to read, but it
>would
>> not be worth using for this calculation.
>>
>> However, if your data frame had multiple color columns in your data
>frame
>> that you wanted to make responses for then you might want to use
>lapply as
>> a more compact version of a for loop to repeat this operation.
>>
>> colordata2 <- data.frame(id = c(1,2,3,4,5), color1 = c("blue", "red",
>> "green", "blue", "orange"), color2 = c("orange", "green",
>> "blue", "red", "red"))
>> responses <- lapply( colordata2[ -1 ], function(col) { ifelse(col ==
>> 'blue', 1, 0) } )
>> names(responses) <- names( colordata2 )[-1]
>>
>> where each of the columns other than the first is handed in turn to
>the
>> anonymous function that does the response calculation. The result is
>a data
>> frame (list of columns) with no column names, so I give the new
>columns
>> names based on the old column names. You could choose different
>names, e.g.
>>
>> names(responses) <- paste0( "response", 1:2 )
>>
>> but you have to be careful to fix that code whenever you change the
>> colordata2 data frame to have more columns.
>> --
>> Sent from my phone. Please excuse my brevity.
>>
>> On April 7, 2016 4:57:04 AM PDT, Michael Artz
>
>> wrote:
>>>
>>> Thaks so much!  And how would you incorporate lapply() here?
>>>
>>> On Thu, Apr 7, 2016 at 6:52 AM, David Barron 
>wrote:
>>>
>>>  ifelse is vectorised, so just use that without the loop.

  colordata$response <- ifelse(colordata$color == 'blue', 1, 0)

  David

  On 7 April 2016 at 12:41, Michael Artz 
>wrote:

  Hi I'm not sure how to ask this, but its a very easy question to
>answer
>  for
>  an R person.
>
>  What is an easy way to check for a column value and then assigne
>a new
>  column a value based on that old column value?
>
>  For example, Im doing
>   colordata <- data.frame(id = c(1,2,3,4,5),
> color = c("blue", "red",
>  "green", "blue", "orange"))
>   for (i in 1:nrow(colordata)){
> colordata$response[i] <- ifelse(colordata[i,"color"] ==
>"blue", 1, 0)
>   }
>
>  which works,  but I don't want to use the for loop I want to
>"vecotrize"
>  this.  How would this be implemented?
>
>  [[alternative HTML version deleted]]
>
> --
>
>  R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>  https://stat.ethz.ch/mailman/listinfo/r-help
>  PLEASE do read the posting guide
>  http://www.R-project.org/posting-guide.html
>  and provide commented, minimal, self-contained, reproducible
>code.



>>>
>>>  [[alternative HTML version deleted]]
>>>
>>> --
>>>
>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>>

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread Michael Artz
If you are not using an anonymous function and say you had written the
function out

The below gives me the error > 'f(colordata2$color1)' is not a function,
character or symbol'  But then how is the anonymous function working?


f <- function(col){
  ifelse(col == 'blue', 1, 0)
}
responses <- lapply(colordata2[ -1 ], f(colordata2$color1) )

'f(colordata2$color1)' is not a function, character or symbol'

then how could you then use this fuction in lapply if not for the anonymous
function?

On Thu, Apr 7, 2016 at 8:17 AM, Jeff Newmiller 
wrote:

> Lapply is not a vectorized function. It is compact to read, but it would
> not be worth using for this calculation.
>
> However, if your data frame had multiple color columns in your data frame
> that you wanted to make responses for then you might want to use lapply as
> a more compact version of a for loop to repeat this operation.
>
> colordata2 <- data.frame(id = c(1,2,3,4,5), color1 = c("blue", "red",
> "green", "blue", "orange"), color2 = c("orange", "green",
> "blue", "red", "red"))
> responses <- lapply( colordata2[ -1 ], function(col) { ifelse(col ==
> 'blue', 1, 0) } )
> names(responses) <- names( colordata2 )[-1]
>
> where each of the columns other than the first is handed in turn to the
> anonymous function that does the response calculation. The result is a data
> frame (list of columns) with no column names, so I give the new columns
> names based on the old column names. You could choose different names, e.g.
>
> names(responses) <- paste0( "response", 1:2 )
>
> but you have to be careful to fix that code whenever you change the
> colordata2 data frame to have more columns.
> --
> Sent from my phone. Please excuse my brevity.
>
> On April 7, 2016 4:57:04 AM PDT, Michael Artz 
> wrote:
>>
>> Thaks so much!  And how would you incorporate lapply() here?
>>
>> On Thu, Apr 7, 2016 at 6:52 AM, David Barron  wrote:
>>
>>  ifelse is vectorised, so just use that without the loop.
>>>
>>>  colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>>>
>>>  David
>>>
>>>  On 7 April 2016 at 12:41, Michael Artz  wrote:
>>>
>>>  Hi I'm not sure how to ask this, but its a very easy question to answer
  for
  an R person.

  What is an easy way to check for a column value and then assigne a new
  column a value based on that old column value?

  For example, Im doing
   colordata <- data.frame(id = c(1,2,3,4,5),
 color = c("blue", "red",
  "green", "blue", "orange"))
   for (i in 1:nrow(colordata)){
 colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
   }

  which works,  but I don't want to use the for loop I want to "vecotrize"
  this.  How would this be implemented?

  [[alternative HTML version deleted]]

 --

  R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
  https://stat.ethz.ch/mailman/listinfo/r-help
  PLEASE do read the posting guide
  http://www.R-project.org/posting-guide.html
  and provide commented, minimal, self-contained, reproducible code.
>>>
>>>
>>>
>>
>>  [[alternative HTML version deleted]]
>>
>> --
>>
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>>

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread ruipbarradas
Hello,

Or even simpler, without ifelse,

colordata$response <- colordata$color == 'blue' + 0

Hope this helps,

Rui Barradas
 

Citando David Barron :

> ifelse is vectorised, so just use that without the loop.
>
> colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>
> David
>
> On 7 April 2016 at 12:41, Michael Artz  wrote:
>> Hi I'm not sure how to ask this, but its a very easy question to answer for
>> an R person.
>>
>> What is an easy way to check for a column value and then assigne a new
>> column a value based on that old column value?
>>
>> For example, Im doing
>> colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
>> "green", "blue", "orange"))
>> for (i in 1:nrow(colordata)){
>>    colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
>> }
>>
>> which works,  but I don't want to use the for loop I want to "vecotrize"
>> this.  How would this be implemented?
>>
>>         [[alternative HTML version deleted]]
>>
>> __
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide  
> http://www.R-project.org/posting-guide.htmland provide commented,  
> minimal, self-contained, reproducible code.

 

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread Hadley Wickham
== is also vectorised, and you're better off with TRUE and FALSE
rather than 1 and 0, so I'd recommend:

colordata$response <- colordata$color == 'blue'

Hadley

On Thu, Apr 7, 2016 at 6:52 AM, David Barron  wrote:
> ifelse is vectorised, so just use that without the loop.
>
> colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>
> David
>
> On 7 April 2016 at 12:41, Michael Artz  wrote:
>
>> Hi I'm not sure how to ask this, but its a very easy question to answer for
>> an R person.
>>
>> What is an easy way to check for a column value and then assigne a new
>> column a value based on that old column value?
>>
>> For example, Im doing
>>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
>> "green", "blue", "orange"))
>>  for (i in 1:nrow(colordata)){
>>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
>>  }
>>
>> which works,  but I don't want to use the for loop I want to "vecotrize"
>> this.  How would this be implemented?
>>
>> [[alternative HTML version deleted]]
>>
>> __
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.



-- 
http://hadley.nz

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Re: [R] simple question on data frames assignment

2016-04-07 Thread Jeff Newmiller
Lapply is not a vectorized function. It is compact to read, but it would not be 
worth using for this calculation. 

However, if your data frame had multiple color columns in your data frame that 
you wanted to make responses for then you might want to use lapply as a more 
compact version of a for loop to repeat this operation. 

colordata2 <- data.frame(id = c(1,2,3,4,5), color1 = c("blue", "red",
"green", "blue", "orange"), color2 = c("orange", "green",
"blue", "red", "red"))
responses <- lapply( colordata2[ -1 ], function(col) { ifelse(col == 'blue', 1, 
0) } )
names(responses) <- names( colordata2 )[-1]

where each of the columns other than the first is handed in turn to the 
anonymous function that does the response calculation. The result is a data 
frame (list of columns) with no column names, so I give the new columns names 
based on the old column names. You could choose different names,  e.g.

names(responses) <- paste0( "response", 1:2 )

but you have to be careful to fix that code whenever you change the colordata2 
data frame to have more columns. 
-- 
Sent from my phone. Please excuse my brevity.

On April 7, 2016 4:57:04 AM PDT, Michael Artz  wrote:
>Thaks so much!  And how would you incorporate lapply() here?
>
>On Thu, Apr 7, 2016 at 6:52 AM, David Barron 
>wrote:
>
>> ifelse is vectorised, so just use that without the loop.
>>
>> colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>>
>> David
>>
>> On 7 April 2016 at 12:41, Michael Artz 
>wrote:
>>
>>> Hi I'm not sure how to ask this, but its a very easy question to
>answer
>>> for
>>> an R person.
>>>
>>> What is an easy way to check for a column value and then assigne a
>new
>>> column a value based on that old column value?
>>>
>>> For example, Im doing
>>>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
>>> "green", "blue", "orange"))
>>>  for (i in 1:nrow(colordata)){
>>>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue",
>1, 0)
>>>  }
>>>
>>> which works,  but I don't want to use the for loop I want to
>"vecotrize"
>>> this.  How would this be implemented?
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> __
>>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>>
>
>   [[alternative HTML version deleted]]
>
>__
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>https://stat.ethz.ch/mailman/listinfo/r-help
>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread PIKAL Petr
Hi

> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Michael
> Artz
> Sent: Thursday, April 7, 2016 1:57 PM
> To: David Barron 
> Cc: r-help@r-project.org
> Subject: Re: [R] simple question on data frames assignment
>
> Thaks so much!  And how would you incorporate lapply() here?

Why do you want to use lapply? What is a result you want to achieve?

Actually color is factor and it has a numeric value "inside".

> as.numeric(colordata$color)
[1] 1 4 2 1 3

Cheers
Petr

>
> On Thu, Apr 7, 2016 at 6:52 AM, David Barron  wrote:
>
> > ifelse is vectorised, so just use that without the loop.
> >
> > colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
> >
> > David
> >
> > On 7 April 2016 at 12:41, Michael Artz  wrote:
> >
> >> Hi I'm not sure how to ask this, but its a very easy question to
> >> answer for an R person.
> >>
> >> What is an easy way to check for a column value and then assigne a
> >> new column a value based on that old column value?
> >>
> >> For example, Im doing
> >>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
> >> "green", "blue", "orange"))  for (i in 1:nrow(colordata)){
> >>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1,
> >> 0)  }
> >>
> >> which works,  but I don't want to use the for loop I want to "vecotrize"
> >> this.  How would this be implemented?
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> __
> >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> https://stat.ethz.ch/mailman/listinfo/r-help
> >> PLEASE do read the posting guide
> >> http://www.R-project.org/posting-guide.html
> >> and provide commented, minimal, self-contained, reproducible code.
> >>
> >
> >
>
>   [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.


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Re: [R] simple question on data frames assignment

2016-04-07 Thread Michael Artz
Thaks so much!  And how would you incorporate lapply() here?

On Thu, Apr 7, 2016 at 6:52 AM, David Barron  wrote:

> ifelse is vectorised, so just use that without the loop.
>
> colordata$response <- ifelse(colordata$color == 'blue', 1, 0)
>
> David
>
> On 7 April 2016 at 12:41, Michael Artz  wrote:
>
>> Hi I'm not sure how to ask this, but its a very easy question to answer
>> for
>> an R person.
>>
>> What is an easy way to check for a column value and then assigne a new
>> column a value based on that old column value?
>>
>> For example, Im doing
>>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
>> "green", "blue", "orange"))
>>  for (i in 1:nrow(colordata)){
>>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
>>  }
>>
>> which works,  but I don't want to use the for loop I want to "vecotrize"
>> this.  How would this be implemented?
>>
>> [[alternative HTML version deleted]]
>>
>> __
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>

[[alternative HTML version deleted]]

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Re: [R] simple question on data frames assignment

2016-04-07 Thread David Barron
ifelse is vectorised, so just use that without the loop.

colordata$response <- ifelse(colordata$color == 'blue', 1, 0)

David

On 7 April 2016 at 12:41, Michael Artz  wrote:

> Hi I'm not sure how to ask this, but its a very easy question to answer for
> an R person.
>
> What is an easy way to check for a column value and then assigne a new
> column a value based on that old column value?
>
> For example, Im doing
>  colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
> "green", "blue", "orange"))
>  for (i in 1:nrow(colordata)){
>colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
>  }
>
> which works,  but I don't want to use the for loop I want to "vecotrize"
> this.  How would this be implemented?
>
> [[alternative HTML version deleted]]
>
> __
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

[[alternative HTML version deleted]]

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[R] simple question on data frames assignment

2016-04-07 Thread Michael Artz
Hi I'm not sure how to ask this, but its a very easy question to answer for
an R person.

What is an easy way to check for a column value and then assigne a new
column a value based on that old column value?

For example, Im doing
 colordata <- data.frame(id = c(1,2,3,4,5), color = c("blue", "red",
"green", "blue", "orange"))
 for (i in 1:nrow(colordata)){
   colordata$response[i] <- ifelse(colordata[i,"color"] == "blue", 1, 0)
 }

which works,  but I don't want to use the for loop I want to "vecotrize"
this.  How would this be implemented?

[[alternative HTML version deleted]]

__
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https://stat.ethz.ch/mailman/listinfo/r-help
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