I am building a VAR model to forecast of bivariate timeseries. But it shows
flat forecast.
So I would like to use recursive window forecasting technique using VAR
model. Will it give what i expect (Avoid flat forecast) ? or should i have
to go with other package.
> datax.zoo <- read.zoo(datax)> d
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A dput of your data may be helpful, Elahe? -- H[
On 19 May 2017 at 16:56, Elahe chalabi via R-help
wrote:
> Any answer?!
>
> On Friday, May 19, 2017 6:33 AM, Elahe chalabi via R-help <
> r-help@r-project.org> wrote:
>
>
> Hi all,
>
> I'm running train function from caret package on my data
In the case of logical operations performed with an operand being a
character type, the error is:
"operations are possible only for numeric, logical or complex types"
Now the display of this error message seems to be the OUTCOME of the
fact that implicit coercion is NOT BEING APPLIED INTERNALLY to
merge() may be useful here:
> merge(OriginalData[1:3], TargetValue, by.x="AA1", by.y="AA",
sort=FALSE)[-1]
Value1 Value2 BB Value
1 1 11 B 7
2 3 13 B 7
3 11 21 B 7
4 2 12 B25
5 12 22 B25
6 9 19 B25
7 10
Like this? (use indexing to avoid explicit loops whenever possible):
## first convert factor columns to character, as David W. suggested
i <- sapply(od,is.factor)
od[i]<- lapply(od[i],as.character)
i <- sapply(tv, is.factor)
tv[i]<- lapply(tv[i],as.character)
## Now use ?match
wh <- match(od
> On May 20, 2017, at 11:23 AM, Christofer Bogaso
> wrote:
>
> Hi again,
>
> Let say I have below 2 data frames.
>
> OriginalData = data.frame('Value1' = 1:12, 'Value2' = 11:22, 'AA1' =
> c('AA4', 'AA3', 'AA4', 'AA1', 'AA2', 'AA1', 'AA6', 'AA6', 'AA3',
> 'AA3', 'AA4', 'AA3'), 'Value' = NA)
>
Hi again,
Let say I have below 2 data frames.
OriginalData = data.frame('Value1' = 1:12, 'Value2' = 11:22, 'AA1' =
c('AA4', 'AA3', 'AA4', 'AA1', 'AA2', 'AA1', 'AA6', 'AA6', 'AA3',
'AA3', 'AA4', 'AA3'), 'Value' = NA)
TargetValue = data.frame('AA' = c('AA1', 'AA2', 'AA3', 'AA4', 'AA5',
'AA6'), 'BB
Jeff,
Here is the solution:
myTerms <- c("prostatic", "adenocarcinoma", "grade")
inspect(DocumentTermMatrix(docs, list(dictionary = myTerms))) ## only returns
from first 10 docs in DTM
as.matrix(DocumentTermMatrix(docs, list(dictionary = myTerms))) ## returns
from all docs in the DTM
Pat
On 20/05/17 22:42, Duncan Murdoch wrote:
On 20/05/2017 6:39 AM, Rolf Turner wrote:
On 20/05/17 22:18, Duncan Murdoch wrote:
On 20/05/2017 5:53 AM, Martin Maechler wrote:
Ramnik Bansal
on Sat, 20 May 2017 08:52:55 +0530 writes:
> Taking this question further.
> If I use a complex
On 20/05/2017 6:39 AM, Rolf Turner wrote:
On 20/05/17 22:18, Duncan Murdoch wrote:
On 20/05/2017 5:53 AM, Martin Maechler wrote:
Ramnik Bansal
on Sat, 20 May 2017 08:52:55 +0530 writes:
> Taking this question further.
> If I use a complex number or a numeric as an operand in logi
On 20/05/17 22:18, Duncan Murdoch wrote:
On 20/05/2017 5:53 AM, Martin Maechler wrote:
Ramnik Bansal
on Sat, 20 May 2017 08:52:55 +0530 writes:
> Taking this question further.
> If I use a complex number or a numeric as an operand in logical
> operations, to me it APPEARS that
On 20/05/2017 5:53 AM, Martin Maechler wrote:
Ramnik Bansal
on Sat, 20 May 2017 08:52:55 +0530 writes:
> Taking this question further.
> If I use a complex number or a numeric as an operand in logical
> operations, to me it APPEARS that these two types are first coerced to
> Ramnik Bansal
> on Sat, 20 May 2017 08:52:55 +0530 writes:
> Taking this question further.
> If I use a complex number or a numeric as an operand in logical
> operations, to me it APPEARS that these two types are first coerced to
> LOGICAL internally and then THIS lo
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