> On Apr 2, 2017, at 2:30 PM, Vineet Gupta wrote:
>
> Hi,
>
> I have been struggling with this problem with for 2 weeks, but have yet to
> find a solution on Google.
>
> I am running R 3.3.3 on Windows 10. For the past 2 weeks, when I open R (and
> RStudio), the R screen freezes and is unusa
Your code is syntactically correct but goes against all R style guides I know.
I've changed that - but obviously you don't have to.
x1 <- c(a1 = 0, b3 = 2, e2 = -2)
x2 <- c(c = 3, d = 4, f = 5)
N <- c("a1", "b3", "d", "e2", "c", "f")
x3 <- c(x1, x2) # concatenate
x3 <- x3[N
Hi,
I have been struggling with this problem with for 2 weeks, but have yet to find
a solution on Google.
I am running R 3.3.3 on Windows 10. For the past 2 weeks, when I open R (and
RStudio), the R screen freezes and is unusable. Nothing has changed, to trigger
this event. I have tried re-ins
Hello,
Lets say I have 2 vectors:
x1=c("a1"=0,"b3"=2,"e2"=-2);
x2=c("c"=3,"d"=4,"f"=5);
and vector of names in specific order:
N=c("a1","b3","d","e2","c","f")
and I want to combine them to vector C:
C=
a1 b3 d e2 c f
0 2 4 -2 3 5
Basically, just fill vector N with values from vector x1
Just to be clear...
I can think of no reason to ever "dummify" categorical variables in R.
i.e. **Do not do this.**
Corollary 1: Learn how R's modeling functionality works: ?formula
Corollary 2: Do not try to do it as is done in SAS or SPSS or whatever
(as David already said)
(possible exceptio
Rui:
I tried your suggestion, which was not fruitful.
Another R-helper suggested the code below, which worked perfectly.
Thanks for your suggestion and time spent.
Regards,
Bruce
obj <- model.matrix( ID ~ Gender+0, data=GENDER )
cbind(GENDER[ , 1, drop=FALSE], obj[,-3] )
Bruce Ratner, Ph.D.
Th
David:
Thank you. It's perfect.
FYI: regarding your comment about "NA," yes, I filled it in just for the
example.
Again, thanks for your professional and polite reply.
Bruce
Bruce Ratner, Ph.D.
The Significant Statistician™
(516) 791-3544
Statistical Predictive Analtyics -- www.DMSTAT1.com
Mac
> On 02 Apr 2017, at 19:15 , Spencer Graves
> wrote:
>
>
>
> On 2017-04-02 8:42 AM, peter dalgaard wrote:
>>> On 02 Apr 2017, at 14:53 , Spencer Graves
>>> wrote:
>>>
>>>
>>>
>>> On 2017-04-02 4:10 AM, peter dalgaard wrote:
Not fooling, no.
However, r-help/r-announce/r-de
> On Apr 2, 2017, at 12:19 PM, David Winsemius wrote:
>
>>
>> On Apr 2, 2017, at 11:48 AM, BR_email wrote:
>>
>> Hi R'ers:
>> I need a jump start to obtain my objective.
>> Assistance is greatly appreciated.
>> Bruce
>>
>> ***
>> #Given Gender Dataset
>> r1 <- c( 1, 2, 3)
>> c1
Hello,
Try the following.
GENDER$Gender_male <- as.integer(GENDER$Gender == "male")
GENDER$Gender_female <- as.integer(GENDER$Gender == "female")
Hope this helps,
Rui Barradas
Em 02-04-2017 19:48, BR_email escreveu:
Hi R'ers:
I need a jump start to obtain my objective.
Assistance is greatly
> On Apr 2, 2017, at 11:48 AM, BR_email wrote:
>
> Hi R'ers:
> I need a jump start to obtain my objective.
> Assistance is greatly appreciated.
> Bruce
>
> ***
> #Given Gender Dataset
> r1 <- c( 1, 2, 3)
> c1 <- c( "male", "female", "NA")
> GENDER <- data.frame(r1,c1)
> names(d1
Hi R'ers:
I need a jump start to obtain my objective.
Assistance is greatly appreciated.
Bruce
***
#Given Gender Dataset
r1 <- c( 1, 2, 3)
c1 <- c( "male", "female", "NA")
GENDER <- data.frame(r1,c1)
names(d1_3) <- c("ID","Gender")
GENDER
--
_OBJECTIVE_: To dummify GEN
nlm doesn't include bounds so you'd need to transform. nlminb does, as
do a number of codes in optimr (and more in R-forge version optimrx). The latter
packages have a common call which simplifies choosing the solver. My own Rvmmin
is an all-R
implementation of the same method (but some details ch
On 2017-04-02 8:42 AM, peter dalgaard wrote:
On 02 Apr 2017, at 14:53 , Spencer Graves
wrote:
On 2017-04-02 4:10 AM, peter dalgaard wrote:
Not fooling, no.
However, r-help/r-announce/r-devel was a restructuring of the r-testers list.
This goes back to March 20, 1996. The first archived
> On 02 Apr 2017, at 14:53 , Spencer Graves
> wrote:
>
>
>
> On 2017-04-02 4:10 AM, peter dalgaard wrote:
>> Not fooling, no.
>>
>> However, r-help/r-announce/r-devel was a restructuring of the r-testers
>> list. This goes back to March 20, 1996. The first archived post of r-testers
>> is
On 2017-04-02 4:10 AM, peter dalgaard wrote:
Not fooling, no.
However, r-help/r-announce/r-devel was a restructuring of the r-testers list.
This goes back to March 20, 1996. The first archived post of r-testers is
• just a test (the 'archiving' does not yet work) -->> Nr. 2 Martin
M
So I'm getting:
Error in nlm(neglikhood, p = c(0.1, 0.1), hessian = T, x = elinajat) :
non-finite value supplied by 'nlm'
In addition: There were 50 or more warnings (use warnings() to see the
first 50)
with the following (neglikelihood of 1-param. Weibull):
neglikhood <- function(theta,x)
Not fooling, no.
However, r-help/r-announce/r-devel was a restructuring of the r-testers list.
This goes back to March 20, 1996. The first archived post of r-testers is
• just a test (the 'archiving' does not yet work) -->> Nr. 2 Martin
Maechler
so the actual start may have been a fe
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