Hi,
I am new to R. Kindly help me with the plot that gives wrong x-axis
values. I have a data frame "gg", that looks like this:
> head(gg)
timestamps value
1 2017-04-25 16:52:00 -0.412
2 2017-04-25 16:53:00 -0.4526667
3 2017-04-25 16:54:00 -0.4586667
4 2017-04-25 16:55:00 -0.
Hi,
I have a data frame "gg", that looks like this:
> head(gg)
timestamps value
1 2017-04-25 16:52:00 -0.412
2 2017-04-25 16:53:00 -0.4526667
3 2017-04-25 16:54:00 -0.4586667
4 2017-04-25 16:55:00 -0.4606667
5 2017-04-25 16:56:00 -0.505
6 2017-04-25 16:57:00 -0.507
I
Hi
not sure if sexiest but zoo package has several functions for replacing missing
values.
as.data.frame(lapply(DF1, function(x) na.aggregate(x, FUN=function(y)
round(mean(y)
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Rolf
>
Attaching the code that generates the error. The function phcoefs in the
attached was modeled after coxph.fit from which all the preprocessing has been
stripped so that just coxfit6 (C code) can be called to estimate the
coefficients.
> library(survival)
> source("coxfit6-issue.R")
Error in .Ca
Thanks to Henrik Bengtsson I found a work around which is to use
environment(phcoefs) <- asNamespace("survival")
It seems like the symbols that are accessed using .Call are not accessible from
outside the package that defines it.
> phcoefs(stim[ii], sts[ii], as.matrix(as.double(cvt[ii])), oo$co
Apologies, I re-read the question and realised you hope to replace the missing
values rounded to the nearest whole number.
Here’s the code in full.
df1 <- data.frame(x = c(25, 30, 40, 26, 60), y = c(122, 135, NA, 157, 195), z =
c(352, 376, 350, NA, 360))
means <- sapply(df1, mean, na.rm = T);
Hi Val,
You could do this by nesting 2 for loops, and defining a function such that it
returns the mean of the column when the value is ‘NA’.
df1 <- data.frame(x = c(25, 30, 40, 26, 60), y = c(122, 135, NA, 157, 195), z =
c(352, 376, 350, NA, 360)); df2 <- df1[0, ]
means <- sapply(df1, mean, n
On 27/04/17 12:45, Val wrote:
HI all,
I have a data frame with three variables. Some of the variables do
have missing values and I want to replace those missing values
(1represented by NA) with the mean value of that variable. In this
sample data, variable z and y do have missing values. The me
On 26/04/2017 7:40 PM, sesh...@mskcc.org wrote:
Thanks to Henrik Bengtsson I found a work around which is to use environment(phcoefs) <-
asNamespace("survival")
It seems like the symbols that are accessed using .Call are not accessible from
outside the package that defines it.
If it was inte
On 26/04/2017 5:20 PM, sesh...@mskcc.org wrote:
Attaching the code that generates the error. The function phcoefs in the
attached was modeled after coxph.fit from which all the preprocessing has been
stripped so that just coxfit6 (C code) can be called to estimate the
coefficients.
library(s
HI all,
I have a data frame with three variables. Some of the variables do
have missing values and I want to replace those missing values
(1represented by NA) with the mean value of that variable. In this
sample data, variable z and y do have missing values. The mean value
of y and z are152. 25
Not the right forum... try https://www.opencpu.org/help.html
I suggest you learn R interactively (not via OpenCPU), but packages are not
that hard to build if you use RStudio.
--
Sent from my phone. Please excuse my brevity.
On April 26, 2017 3:05:05 PM PDT, Jake Stone wrote:
>I'm brand new to
Hi Sanjeev,
The video that you attached seems to contain the information that you
want. If you contact Kazi Rahman (the creator of the video) who seems
to be at the University of Geneva currently, you may be able to get
the information that you want.
Jim
On Wed, Apr 26, 2017 at 4:27 PM, Sanjeev K
I'm brand new to opencpu.
Do I have to package my code before I can test on my opencpu single server?
It would be nice to just test from source.
--
*jake*
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On 26/04/2017 2:51 PM, Therneau, Terry M., Ph.D. wrote:
A user contacted me directly about this, I answered with my best understanding
of the
recent R-help discussion of the issue, and their response to my response shows
that I'm
not quite right.
I am emphatically not an MS Windows user so am
A user contacted me directly about this, I answered with my best understanding of the
recent R-help discussion of the issue, and their response to my response shows that I'm
not quite right.
I am emphatically not an MS Windows user so am asking for help -- which I will cut/paste
to this user a
Let's be a bit careful.
You'll probably need a regular expression. But maybe a regex can't work in
principle, so one can't just gloss over the details.
You said: "blah blah blah" can contain ANY text. If this is true, "blah blah
blah" could contain the delimiters. If that is the case, a regex i
Hi all,
I'm happy to announce that the huxtable package version 0.2.1 is on CRAN.
huxtable is an R package to create LaTeX and HTML tables, with a friendly,
modern interface. Features of 0.2.1 include:
- Export to LaTeX, HTML, Word and Markdown
- Easy integration with knitr and rmarkdown documen
http://www.r-project.org/posting-guide.html
https://cran.r-project.org
--
Sent from my phone. Please excuse my brevity.
On April 25, 2017 11:27:01 PM PDT, Sanjeev Kumar
wrote:
>Sir/Mam
>I am a Research Scholar at Central University of Karnataka and I am
>working on SWAT (Soil And Water Ass
Your mental model of what R is and does appears to be misaligned with
actuality. Quoting from Wikipedia:
R is an open source programming language and software environment
for statistical computing and graphics [...]. The R language is
widely used among statisticians and data miners for d
Shiny could probably work, but https://www.opencpu.org/ is probably a
better fit.
Best,
Ista
On Wed, Apr 26, 2017 at 9:55 AM, Jake Stone wrote:
> I am a java programmer, quite new to R.
>
> I am familiar with rJava/JRI, but would prefer a distributed networked
> architecture for my systems.
>
>
Sir/Mam
I am a Research Scholar at Central University of Karnataka and I am
working on SWAT (Soil And Water Assessment tool) and I need 'R' for the
Calibration purpose but for 'R' I need a code. So if it is possible to send
that code pls send me.
https://www.youtube.com/watch?v=5NFn9paBR98
I'm pleased to announce that the glmnetUtils package is now available on CRAN.
I wrote this after using the popular glmnet package to fit elastic net models
for a few customer projects, and rewriting the same boilerplate code each time.
glmnetUtils provides some quality-of-life improvements for
I would like to do bootstrap aggregation of a model (currently fit
with glm()) so that:
1) Data observations are replicated as N bootstrap samples.
2) The specified model is fit to each sample.
3) Error is calculated on out of bag samples.
4) Have an easy way of making model predictions.
5) + all
I am a java programmer, quite new to R.
I am familiar with rJava/JRI, but would prefer a distributed networked
architecture for my systems.
TASK:
- Java runs an NLP analysis of a text. It then sends an array (vector)
of variables to R
- R predicts the class of the input vector based on
I need to hire an R software expert to help me with nls, nlme and surface
prediction plots. Can I get suggestions?
Best,
Santiago Bueno
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h
What's the expected output for this sample?
How do _you_ define what should be counted?
> On Apr 26, 2017, at 8:33 AM, Dan Abner wrote:
>
> Hi all,
>
> I was not clearly enough in my example code. Please see below where "blah
> blah blah" can be ANY text or numbers: No predictable pattern
Hi all,
I was not clearly enough in my example code. Please see below where "blah
blah blah" can be ANY text or numbers: No predictable pattern at all to
what may or may not be written in place of "blah blah blah".
text1<-c("blah blah blah.
blah blah blah
1) blah blah blah 1
2) blah blah blah
10)
Hi Bert,
many thanks for your reply. I appreciate your help a lot.
I would like to do the operation (= finding the duplicates) row-wise.
During this night a solution showed up in my dreams :) Instead of using
duplicates() to flag and filter the values I could use unique instead with
the same r
Hi Bert,
many thanks for your reply. I appreciate your help a lot.
I would like to do the operation (= finding the duplicates) row-wise.
During this night a solution showed up in my dreams :) Instead of using
duplicates() to flag and filter the values I could use unique instead with
the same r
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