Hi All,
I have a XML file like :
GB
I want to create a data frame out of this XML but
obviously xmlToDataFrame() is not working.
It has dynamic attributes like for node precipitation , it could have
attributes like value and mode both if there is ppt in some city.
My basic is
Dear All,
Replacing missing values with means is generally not a good idea:
"Perhaps the easiest way to impute is to replace each missing
value with the mean of the observed values for that variable. Unfortunately,
this
strategy can severely distort the distribution for this variable, leading t
Let me summarize rather than repeat the entire thread:
An error report from a user (seshan) stumped me, and I asked for help here.
Duncan Murdoch picked up on fine details of the error message, i.e., that the error did
NOT come from within the survival package. That changes the whole tenor of
Hi,
There might be an easy solution out there already, but I suspect that you will
need to parse the XML yourself. The example below uses package xml2 not XML
but you could do this with either. The example simply shows how to get values
out of the XML hierarchy. Once you have the attributes
On 04/27/2017 09:53 AM, sesh...@mskcc.org wrote:
Thank you Drs. Therneau and Murdoch.
"Why not use coxph.fit?" -- My use case scenario is that I needed the Cox model
coefficients for resampled data. I was trying to reduce the computational overhead of
coxph.fit (since it will repeated a larg
On 27/04/2017 10:53 AM, sesh...@mskcc.org wrote:
Thank you Drs. Therneau and Murdoch.
"Why not use coxph.fit?" -- My use case scenario is that I needed the Cox model
coefficients for resampled data. I was trying to reduce the computational overhead of
coxph.fit (since it will repeated a large
Hi Dhivya,
I'm not that familiar with the "gg.ts" function, but you are passing
character values to the "frequency" and "start" arguments. If there is
no automatic conversion to numeric values, that would cause the error.
Similarly, your "timestamps" variable may have been read in as a
factor, whic
Thank you Drs. Therneau and Murdoch.
"Why not use coxph.fit?" -- My use case scenario is that I needed the Cox model
coefficients for resampled data. I was trying to reduce the computational
overhead of coxph.fit (since it will repeated a large number of times) by
stripping all the parts that I
Since my coding philosophy is "why compute something that is not needed" I
don't have timing data comparing coxph.fit to the stripped down version. I will
try to come up with a test suite.
I do work under Linux (the initial Windows output was because I had both 3.3.1
and 3.4.0 on that machine).
Hello,
I am currently getting a strange error when I call installed.packages():
Error in if (file.exists(dest) && file.mtime(dest) > file.mtime(lib) && :
missing value where TRUE/FALSE needed
Calls: installed.packages
I am working with R 3.4.0 on Windows. I didn't get this error with R 3.3.3
Hi Jim,
Thank you for the reply. 'gg.ts' is actually the object name of the time
series I am using here. Also I have changed my timestamp class from factor
to POSIXct (gg$timestamps <- as.POSIXct(gg$timestamps, format = "%Y-%m-%d
%H-%M-%S") . When i plot this time series on graph, the x axis sca
We have several computers with the same problem.
Op 28 apr. 2017 7:25 a.m. schreef "Jean-Claude Arbaut" :
Hello,
I am currently getting a strange error when I call installed.packages():
Error in if (file.exists(dest) && file.mtime(dest) > file.mtime(lib) && :
missing value where TRUE/FALSE n
gg$timestamps <- as.POSIXct(as.character( gg$timestamps ) )
Factors are integers with the appearance of character data, so you are
converting the integers to POSIXct. I usually try to avoid letting R
automatically convert character data to factors, e.g. using
stringsAsFactors=FALSE in read.csv
I have opencpu (single server) up and functioning. My first function will
open a dataset from a csv file stored on my hard drive.
Where should I deploy the csv file? (I tried my apps www directory, but it
doesn't work)
In sum: within an opencpu app, where do I deploy a file so that this line
of c
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