> On Dec 14, 2017, at 2:26 PM, Lasse Kliemann wrote:
>
> What is the rationale behind having both the delta and sd parameters for
> the power.t.test function?
One is the standard deviation of the hypothesized data (or pooled sd in the
case of two sample) under the "alternative" and one is the
What is the rationale behind having both the delta and sd parameters for
the power.t.test function? For the relevant noncentrality parameter, we
only need the ratio delta/sd. If my effect size is given as Cohen's d,
then I only got that ratio and not sd.
As far as I see, in such a case, I can spec
Dear all,
I apologize as this may not be a strictly R question. I am running GAM
models using the mgcv package.
I was wondering if the interpretation of the smooth splines of the 'x'
variable is the same in the following two cases:
# Linear probability model
m1 <- gam(count ~ factor(city) + fact
In addition to which, I would recommend
df <- read.table("DATAM", header = TRUE, fill = TRUE, stringsAsFactors=FALSE)
and then converting the Time column to POSIXct date-time values using
as.POSIXct()
specifying the format using formatting codes found in
?strptime
because the times are not in
> On 14 Dec 2017, at 20:01, Ista Zahn wrote:
>
> On Thu, Dec 14, 2017 at 1:58 PM, Berend Hasselman wrote:
>>
>>> On 14 Dec 2017, at 19:36, lily li wrote:
>>>
>>> Hi R users,
>>>
>>> I have a question about reading from text files. The file has the structure
>>> below:
>>>
>>> Time
On Thu, Dec 14, 2017 at 1:58 PM, Berend Hasselman wrote:
>
>> On 14 Dec 2017, at 19:36, lily li wrote:
>>
>> Hi R users,
>>
>> I have a question about reading from text files. The file has the structure
>> below:
>>
>> TimeColumn1 Column2
>> 01.01.2001-12:00:00
>
> T
Thanks, Berend. I thought R can recognize the space automatically, such as
na.strings="", or sep=' '.
On Thu, Dec 14, 2017 at 11:58 AM, Berend Hasselman wrote:
>
> > On 14 Dec 2017, at 19:36, lily li wrote:
> >
> > Hi R users,
> >
> > I have a question about reading from text files. The file ha
recursive_funlp <- function(dataset = dat1, func = funlp2) {
...
if (!(any(data1$norm_sd >= 1))) {
df1 <- dat1
return(df1)
}
else {
df2 <- recursive_funlp() # GIVE SOME ARGUMENTS HERE
return(df2)
}
}
Whe
> On 14 Dec 2017, at 19:36, lily li wrote:
>
> Hi R users,
>
> I have a question about reading from text files. The file has the structure
> below:
>
> TimeColumn1 Column2
> 01.01.2001-12:00:00
This line does not contain 3 elements; only one.
You'll have to fix t
Hi R users,
I have a question about reading from text files. The file has the structure
below:
TimeColumn1 Column2
01.01.2001-12:00:00
01.01.2001-24:00:0012 11
01.02.2001-12:00:0013 10
01.02.2001-24:00:0011
When I run the code without stopifnot, the code takes 5 min to run and then it
throws an error listed below without producing any results.
Error: node stack overflow
In addition: There were 50 or more warnings (use warnings() to see the first 50)
Error during wrapup: node stack overflow
Thanks.
N
Your code contains the lines
stopifnot(!(any(data1$norm_sd >= 1)))
if(!(any(data1$norm_sd >= 1))) {
df1 <- dat1
return(df1)
}
stop() "throws an error", causing the current function and all functions in
the call
stack to abort and return n
I would like to perform a permutation test for Cox proportional hazards
regression model. I only find it for t-test and other tests (e.g. comparing
two medians).
Is there a way that I can perform a Cox PH model in R or SAS for the
LR-test?
I am doing the following
B <- 1000; LRtestx <- rep(NA,B)
Eric: I will try and see if I can figure out the issue by debugging as you
suggested. I don’t know why my code after stopifnot is not getting executed
where I like the code to run the funlp2 function when the if statement is TRUE
but when it is false, I like it to keep running until the stopifn
If you are trying to understand why the "stopifnot" condition is met you
can replace it by something like:
if ( any(dat2$norm_sd >= 1) )
browser()
This will put you in a debugging session where you can examine your
variables, e.g.
> dat$norm_sd
HTH,
Eric
On Thu, Dec 14, 2017 at 5:33 PM, E
The message is coming from your stopifnot() condition being met.
On Thu, Dec 14, 2017 at 5:31 PM, DIGHE, NILESH [AG/2362] <
nilesh.di...@monsanto.com> wrote:
> Hi, I accidently left out few lines of code from the calclp function.
> Updated function is pasted below.
>
> I am still getting the sam
Hi, I accidently left out few lines of code from the calclp function. Updated
function is pasted below.
I am still getting the same error “Error: !(any(data1$norm_sd >= 1)) is not
TRUE“
I would appreciate any help.
Nilesh
dput(calclp)
function (dataset)
{
dat1 <- funlp1(dataset)
recursi
Eric: Thanks for taking time to look into my problem. Despite of making the
change you suggested, I am still getting the same error. I am wondering if the
logic I am using in the stopifnot and if functions is a problem.
I like the recursive function to stop whenever the norm_sd column has zero
My own typo ... whoops ...
!( any(dat2$norm_sd >= 1 ))
On Thu, Dec 14, 2017 at 3:43 PM, Eric Berger wrote:
> You seem to have a typo at this expression (and some others like it)
>
> Namely, you write
>
> any(!dat2$norm_sd) >= 1
>
> when you possibly meant to write
>
> !( any(dat2$norm_sd) >=
You seem to have a typo at this expression (and some others like it)
Namely, you write
any(!dat2$norm_sd) >= 1
when you possibly meant to write
!( any(dat2$norm_sd) >= 1 )
i.e. I think your ! seems to be in the wrong place.
HTH,
Eric
On Thu, Dec 14, 2017 at 3:26 PM, DIGHE, NILESH [AG/2362]
Hi, I need some help with running a recursive function. I like to run funlp2
recursively.
When I try to run recursive function in another function named "calclp" I get
this "Error: any(!dat2$norm_sd) >= 1 is not TRUE".
I have never built a recursive function before so having trouble executing it
I’m running a model on animal behavior in response to shipping. In most
cases, there is only one ship in the study area at one time. Ship length,
distance from the animals, speed, angle from animals, and ship direction
(as east/west bound) are among shipping-related covariates (with multiple
intera
This looks like a bug in latticeExtra: in the c.trellis function there
are these lines:
## some prepanel functions require a 'subscripts' argument in each
'panel.args'
if ("subscripts" %in% c(names(formals(obj1$prepanel.default)),
names(formals(obj1$prepane
Dear Elahe,
Something like
joint <- rbind(
data.frame(x = gg$Az, veg = gg$veg, type = "Alz"),
data.frame(x = tt$Cont, veg = gg$veg, type = "Cont")
)
ggplot(joint, aes(x = x, fill = veg, colour = type)) + geom_plot(alpha = 0.2)
Best regards,
ir. Thierry Onkelinx
Statisticus / Statistician
V
On page 409 of "Applied Predictive Modeling" by Max Kuhn, it states
that the gbm function can accomodate only two class problems when
referring to the distribution parameter.
>From gbm help re: the distribution parameter:
Currently available options are "gaussian" (squared error),
Hi
Are you aware of function aggregate?
result <- with(data_tmp, aggregate(Theta, list(Marital, Education), mean))
should do the trick.
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Michael
> Haenlein
> Sent: Thursday, December 14, 2
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