Sunanda,
I'd suggest you expose a model and methods to the web using shiny or
something. After which, you just need to use jquery to call the HTTP
endpoint. If you need further assistance, please email me off list and I'll
provide. -- H
On Fri, 24 May 2019 at 18:05, Sunanda Iyengar via R-help <
r-
Hello,
Came across this e-mail when considering plumber to use R Gui.I am very new to
this and i am not sure how to use plumber to connect a javascrpt code to run R.
I have a chunk of R code which does some number crunching work which is very
neat. I want this to run from a browser API call usin
> Would be possible to automate the selection of the best value?
Can you define "best", precisely?
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Thanks for your help.
Mainly, at one point I code the dependent variable PREP24 to dichotomous and
run boosted logistic right. I try to use type=”glm” and I get nothing out of
the analysis. So I just leave it as binomial() and then I get this strange
response in the .obj where I get a response
Hello,
Maybe something like the following is what you want.
The code first creates a logical index of columns with at least one NA
or "NULL" (character string, not NULL) values. Then extracts only those
columns from the dataframe.
inx <- sapply(datos, function(x) any(x == "NULL" | is.na(x)))
... and I should have said, show us your code. We've no idea what you tried
to do (or at least I don't).
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Ma
I would have thought the message was obvious. Follow the posting guide:
show us a subset of your data.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, May
Purely statistical questions are generally off topic here, and your query
may fall under that rubric. But you should try searching at rseek.org and R
task views -- https://cran.r-project.org/web/views/ -- perhaps under the
SocialScience heading or others that may use the methodology to which you
r
Hi,
Please find below the links related to 'Riex' package release announcement.
If you have any questions or need additional information, let me know.
- Release Announcement *- *https://myriamibrahim.com/portfolio/riex/
- CRAN - https://cran.r-project.org/web/packages/Riex/index.html
I keep getting this error
in base::rowSums(x, na.rm = na.rm, dims = dims, ...) :
'x' must be numeric
In addition: Warning message:
When I try to run confint on the opt object can you help please thnx
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R
Hello everyone,
I have created a parametric additive model for the median house price (as
the response) and with the number of tax forms (x1) and the number of
healthcare facilities (x2) as my covariates. I should mention that both of
the covariates have quadratic effects in my model.
Now I want
Hi Paul,
Thanks for the reproducible data. You really only need to provide
enough to illustrate your question, but this works.
I suspect you have a data import problem - I doubt you really want so
many columns to be factors! Probably you need to specify that NULL
means something specific, rather
Dear friends,
Hope you are all doing well. I would like to know how to retrieve a
complete dataframe (all the columns), except for the cases when one of the
columns have either nulls or NAs.
In this case, I´d like to retrieve all the columns but only the cases
(rows) where Var5 has values differe
Dear Rui, thank you very much !
On Fri, May 24, 2019 at 4:35 AM Rui Barradas wrote:
> Hello,
>
> This has to do with what kind of variance estimator is being used.
> R uses the unbiased estimator and Python the MLE one.
>
>
>
> var1 <- function(x){
>n <- length(x)
>(sum(x^2) - sum(x)^2/n
Hello,
This has to do with what kind of variance estimator is being used.
R uses the unbiased estimator and Python the MLE one.
var1 <- function(x){
n <- length(x)
(sum(x^2) - sum(x)^2/n)/(n - 1)
}
var2 <- function(x){
n <- length(x)
(sum(x^2) - sum(x)^2/n)/n
}
sd1 <- function(x) sqrt
Dear all, please would you advise :
do python and R have different ways to compute the standard deviation (sd) ?
for example, in python, starting with :
a = np.array([[1,2,3], [4,5,6], [7,8,9]])
print(a.std(axis=1)) ### per row : [0.81649658 0.81649658 0.81649658]
print(a.std(axis=0)) ### per c
thanks a lot, Alfredo ! did not know about Rswitch - very helpful !
On Thu, May 23, 2019 at 11:39 PM Alfredo Cortell <
alfredo.cortell.nico...@gmail.com> wrote:
> Hi Bogdan,
>
> The way I do this is the following: I have different R versions installed,
> and then I downloaded and use Rswitch to c
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