Hi, Richard et al.:
On 7/28/22 1:50 AM, Richard O'Keefe wrote:
What do you mean by "a list that I can understand"?
A quick tally of the number of XML elements by identifier:
1 echoedSearchRetrieveRequest
1 frbrGrouping
1 maximumRecords
1 nextRecordPosition
1 numberOfRecords
1 query
1 records
1
Hello,
I'm reposting, I sent the previous in HTML format.
My apologies, I'm not at my computers.
And another solution, taking advantage of Rasmus' one:
simplify2array(parallel::mclapply(c(
"%Y",
"%m",
"%d",
"%H"), function(fmt, x) {
as.integer(format(as.POSIXct(x), format = fmt))
}, x = d
Hello,
And another solution, taking advantage of Rasmus' one:
simplify2array(parallel::mclapply(c(
� "%Y",
� "%m",
� "%d",
� "%H"), function(fmt, x) {
��� as.integer(format(as.POSIXct(x), format = fmt))
}, x = dta$forecast.date))
# [,1] [,2] [,3] [,4]
#[1,] 2020��� 8��� 1�� 12
#[2,] 20
On 2020-08-02 09:24 -0700, Philip wrote:
| Below is some Weather Service data. I
| would like to parse the forecast date
| field into four different columns:
| Year, Month, Day, Hour
Dear Philip,
I'm largely re-iterating Eric and Jeff's
excellent solutions:
> dat <- structure(list(f
Learn to post plain text and use dput to include data:
dta <- structure(list(forecast.date = c("2020-08-01 12:00:00", "2020-08-01
12:00:00", "2020-08-01 12:00:00", "2020-08-01 12:00:00", "2020-08-01 12:00:00"
), levels = c("1000 mb", "1000 mb", "1000 mb", "1000 mb", "1000 mb" ), lon =
c(-113.13
If the forecast.date column is of type character you can use lubridate to
do this:
> library(lubridate)
> a <- "2020-08-01 12:00:00"
> year(a)
# [1] 2020
> month(a)
# [1] 8
etc
On Sun, Aug 2, 2020 at 7:24 PM Philip wrote:
> Below is some Weather Service data. I would like to parse the foreca
Below is some Weather Service data. I would like to parse the forecast date
field into four different columns:
Year
Month
Day
Hour
I would like to drop the final four zeros. Any suggestions?
forecast.date levels lon lat HGT RH
Hi Peter,
I worked out a neat function to add the century to short dates. It
works fine on its own, but sadly it bombs when used with sapply. Maybe
someone else can point out my mistake:
add_century<-function(x,changeover=68,previous=19,current=20,pos=1,sep="-") {
xsplit<-unlist(strsplit(x,sep))
Hi Peter,
One way is to process the strings before converting them to dates:
x2<-c("45-12-03","01-06-24","04-9-15","1901-03-04")
add_century<-function(x,changeover=68,previous=19,current=20) {
centuries<-sapply(sapply(x,strsplit,"-"),"[",1)
shortyears<-which(!(nchar(centuries)>2))
century<-rep(
.
par.leijonhuf...@regionjh.se
Sjukhuskemist
+46(0)63-153 376, +46-(0)70-242 7006
Laboratoriemedicin
Östersunds sjukhus
-Original Message-
From: R-help On Behalf Of Peter Nelson via R-help
Sent: den 1
I have a data set (.csv) with date (eg date of birth) information stored as
character vectors that I’m attempting to transform to POSIXct objects using the
package lubridate (1.7.4). The problem that I’m trying to address is that my
two digit years are invariably (?) parsed to 20xx. For example,
The principles of regex are basically the same between R and those other
languages, so I don't see why you would switch... but if you did, asking here
would be inappropriate.
I think the short answer is yes, but can't be specific without a reproducible
example. ([1] is recommended but not requi
Dear April
Can you show us an example of what you are trying to do and how it
fails? There are rules about backspaces but I find that if one backspace
does not work try two, three, four until it works. It would be better to
understand the rules but life is short.
Michael
On 27/08/2019 06:56
Is there any way to parse files that include the \ character in a string?
When I try to use grep to extract strings with a pattern that includes "\"
it fails.
If there is no way to do it with R, is it possible with python or a bash
script?
Thank you,
April
[[alternative HTML version d
Based on the discussion of ORing values with characters in [1] which may
generate "unusual" characters I suspect a botched conversion from EBCDIC may
have messed with some of the data. If there are signed data fields then OP may
need to read the original file and treat it as if it were binary da
Here is an attempt at parsing the data. It is fixed field so the regular
expression will extract the data. Some does not seem to make sense since
it has curly brackets in the data.
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not h
It is not clear as to how you want to parse the file. You need to at least
provide an example of what you expect from the output. You mention " the
detail which begins with 2 at byte location 1 to another file"; I don't see
the '2' at byte location 1.
Jim Holtman
Data Munger Guru
What is the p
All,
I have a complex file I would like to parse in R a sample is described below
The header is 1:200 and the detail is 1 to 200. I have written code to parse
the file so far. As follows:
numchar <- nchar(x = data, type = "chars")
start <- c(seq(1, numchar, 398))
end <- c(seq(398, numchar, 3
also check out this CRAN task view:
https://cran.r-project.org/web/views/NaturalLanguageProcessing.html
Cheers,
Bert
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
I suggest you go through some R tutorials to learn about R's
capabilities. Some recommendations can be found here:
https://www.rstudio.com/online-learning/#R
To answer your specific query:
?scan ## Because you do not specify file format.
?grep ?regexp ## to use regular expressions to find tex
Dear Community,
I hope that I have the right category selected because I am relatively new
to the "R" world. I come with a relatively challenging problem in the
luggage. I would like to realize, that "R" reads text files (there are
several hundred pieces in my folder) sequentially, and screens
Dear Jim,
Thanks for your reply.
What you did is 100% what I need -- I now have a data frame with the
relevant data and I can take up from there.
Regards
Lorenzo
On Sun, Oct 11, 2015 at 03:54:10PM -0400, jim holtman wrote:
Not sure exactly what you want since you did not show an expected output
Not sure exactly what you want since you did not show an expected output,
but this will extract the attributes from AccVal in the structure:
> #
> library(XML)
>
> xmlfile=xmlParse("/temp/account.xml")
>
> class(xmlfile) #"XMLI
Dear All,
I am struggling with the parsing of the xml file you can find at
https://www.dropbox.com/s/i4ld5qa26hwrhj7/account.xml?dl=0
Essentially, I would like to be able to convert it to a data.frame to
manipulate it in R and detect all the attributes of an account for
which unrealizedPNL goes
ta)
mat<-na.omit(mat)
dim(mat) <- NULL
newdata <- data.frame(mat, stringsAsFactors=FALSE)
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Anshuk
> Pal Chaudhuri
> Sent: Monday, August 10, 2015 7:24 AM
> To: r-h
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Anshuk
> Pal Chaudhuri
> Sent: Monday, August 10, 2015 7:24 AM
> To: r-help@r-project.org
> Subject: [R] Parsing all rows & columns of a Dataframe into one column
>
>
Hi All,
I am using R for reading certain values in a dataset.
I have values in a data frame all scattered in different columns & rows, some
values might be NA as well.
e.g. below three columns V1, V2,V3, and their respective values.
V1
V2
V2
NA
NA
90
abc
89.09
$50
76799
N
take a look at the sqldf package because it has the ability to load a csv
file to a database from which you can then process the data in pieces
Jim Holtman
Data Munger Guru
What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.
On Tue, Jul 14,
You seem to want your cake and eat it too. Not unexpected, but you may have
your work cut out to learn about the price of having it all.
Plotting: pretty silly to stick with gigabytes of data in your plots. Some kind
of aggregation seems required here, with the raw data being a stepping stone to
I'm relatively new to using R, and I am trying to find a decent solution for my
current dilemma.
Right now, I am currently trying to parse second data from a 7 months of CSV
data. This is over 10GB of data, and I've run into some "memory issues" loading
them all into a single dataset to be plot
FWIW, this is the kludge I came up with. The idea is that I only know
the name of the company and not the ticker/exchange. So the following
admittedly doesn't work in all cases (e.g. "Time Warner"). So if anyone
alternatively knows how to return a list of tickers/exchanges of
companies match
If you do not need a pure R solution, you might also find it helpful to
blend languages. For scraping and munging tasks such as this I generally
turn to python to do extraction then feed data to R for analysis via rpy.
On Thu, Nov 20, 2014 at 8:57 PM, Spencer Graves <
spencer.gra...@structuremoni
The Ecfun package includes functions written to scrape data from
web pages. See, e.g., readUShouse, readUSsenate,
readUSstateAbbreviations. They use getURL{RCurl} and readHTMLTable{XML}.
Hope this helps.
Spencer Graves
On 11/20/2014 5:42 PM, Matt Considine wrote:
Hi,
Hi,
I'm wondering if anyone can point me to code to parse data on Google
Finance pages, i.e. parse the results of a URL request such as this
http://www.google.com/finance?q=apple
I know how to return the contents of the page; it's figuring out the
best tools to parse it that I'm interested i
On May 5, 2014, at 11:42 AM, Timothy W. Cook wrote:
> I didn't find an attached XML file. Maybe the list removes attachments?
The list does not remove all attachments, It removes ones that are not among
the listed acceptable formats. XML is not among the list of acceptable formats.
If it had b
Tim - the file is a hyperlink at the beginning of the message called
'sample.xml' or here's the hyperlink
http://r.789695.n4.nabble.com/file/n4689883/sample.xml
--
View this message in context:
http://r.789695.n4.nabble.com/Parsing-XML-file-to-data-frame-tp4689883p4690021.html
Sent from the R h
I didn't find an attached XML file. Maybe the list removes attachments?
You might try posting to StackOverflow.com if this is the case.
On Fri, May 2, 2014 at 2:17 PM, starcraz wrote:
> Hi all - I am trying to parse out the attached XML file into a data frame.
> The file is extracted from Had
Hi all - I am trying to parse out the attached XML file into a data frame.
The file is extracted from Hadoop File Services (HFS). I am new in using the
XML package so need some help in parsing out the data. Below is some code
that I explore to get the attribute into a data frame. Any help is
apprec
Hi,
In addition, you could also do:
gsub(".*www\\.([[:alnum:]]+\\.[[:alnum:]]+).*","\\1",url)
#[1] "mdd.com" "mdd.com" "mdd.com" "genius.com" "google.com"
gsub(".*www\\.([[:alnum:]]+\\.[[:alnum:]]+).*","\\1",url2)
#[1] "mdd.com" "mdd.com" "mdd.edu" "genius.gov" "google.com"
gs
Try:
gsub(".*\\.com","",url)
[1] "/food/pizza/index.html" "/build-your-own/index.html"
[3] "/special-deals.html" "/find-a-location.html"
[5] "/hello.html"
gsub(".*www\\.([[:alpha:]]+\\.com).*","\\1",url)
#[1] "mdd.com" "mdd.com" "mdd.com" "genius.com" "go
Hi,
The XML package has a nice function, parseURI(), that nicely slice and dices
the url.
library(XML)
parseURI('http://www.mdd.com/food/pizza/index.html')
Might that help?
Cheers,
Ben
On Mar 6, 2014, at 12:23 PM, Abraham Mathew wrote:
> Let's say that I have the following character vecto
Oh, that's perfect. I can just use one of the apply functions to run that
each url and then extract the methods that I need.
Thanks!
On Thu, Mar 6, 2014 at 11:52 AM, Ben Tupper wrote:
> Hi,
>
> The XML package has a nice function, parseURI(), that nicely slice and
> dices the url.
>
> libr
See the parse_url function in the httr package. It does all this and more.
On Mar 6, 2014 2:45 PM, "Sarah Goslee" wrote:
> There are many ways to do this. Here's a simple version and a slightly
> fancier version:
>
>
> url = c("http://www.mdd.com/food/pizza/index.html";,
> "http://www.mdd.com/bui
There are many ways to do this. Here's a simple version and a slightly
fancier version:
url = c("http://www.mdd.com/food/pizza/index.html";,
"http://www.mdd.com/build-your-own/index.html";,
"http://www.mdd.com/special-deals.html";,
"http://www.genius.com/find-a-location.html";,
"http://www.google
Let's say that I have the following character vector with a series of url
strings. I'm interested in extracting some information from each string.
url = c("http://www.mdd.com/food/pizza/index.html";, "
http://www.mdd.com/build-your-own/index.html";,
"http://www.mdd.com/special-deals.html";
Another way would be:
library(qdap)
library(stringr)
x <- scan(what="character",)
x1 <- c(x,x)
x1 <- paste(x1,collapse=" ")
x2 <- gsub('"',"",bracketXtract(x1,"curly"))
res2 <-
as.data.frame(str_trim(do.call(rbind,genXtract(paste0(x2,","),":",","))),stringsAsFactors=FALSE)
res2[,1:3] <-
Hello,
Maybe something like the following.
x <- scan(what = "character", text = '
{"trial":1,"corr":1,"resp_dur":799,"stim":"â†*Â�*â†*Â�*ââ€
*�*â†*�*â†*�*","cond
":"congruent"},{"trial":2,"corr":1,"resp_dur":0,"stim":"xxââ€
’xx","cond":"
nogo"},{"trial":3,"corr":0,"resp_dur
R Experts -
We have a complex problem whereby Qualtrics exported our data into a single
cell as seen below.
We attempted to parse it using scan() without much success. Hoping to get a
little nudge here. I've posted the full data set here:
https://www.dropbox.com/s/e246uiui6jrux6c/CoopandSelfContr
Hello,
Has any1 ever tried to parse a useragent string to get the OS and Browser
information out of it?
There are many Java, PHP and Python ways to do it, but I was wondering if
there is a way to do it with R.
Googling retrieved no help at all.
A useragent string might look like this :
"mozilla/
On Wed, May 8, 2013 at 3:43 AM, avinash sahu wrote:
> Hi All,
>
> I am struggling to parse a XML file that describes a tree. The XML file is
> present here:
> http://www.emouseatlas.org/emap/ema/theiler_stages/StageDefinition/Stage_xml/TS23.xml
> I want is simple list of parents id of each compone
Hi All,
I am using XML package. Even this type of simple parse is not giving
intended result.
tissue.tree <- xmlTreeParse("
http://www.emouseatlas.org/emap/ema/theiler_stages/StageDefinition/Stage_xml/TS23.xml";,
handlers=list(
anatomy=function(x,attr) {x},
Hi,
On May 8, 2013, at 3:43 AM, avinash sahu wrote:
> Hi All,
>
> I am struggling to parse a XML file that describes a tree. The XML file is
> present here:
> http://www.emouseatlas.org/emap/ema/theiler_stages/StageDefinition/Stage_xml/TS23.xml
> I want is simple list of parents id of each compo
Hi All,
I am struggling to parse a XML file that describes a tree. The XML file is
present here:
http://www.emouseatlas.org/emap/ema/theiler_stages/StageDefinition/Stage_xml/TS23.xml
I want is simple list of parents id of each component. The output will look
like
Component = [7148 7149 7150 7
On 12-11-28 6:12 AM, Jim Lemon wrote:
In the course of producing some plots for a publication, I wanted to
mark the places where double counting of cases had occurred. I used
three symbols, “*”, “^” and “#”. While these worked fine if the code was
pasted into the R console, the “#” (comment chara
In the course of producing some plots for a publication, I wanted to
mark the places where double counting of cases had occurred. I used
three symbols, “*”, “^” and “#”. While these worked fine if the code was
pasted into the R console, the “#” (comment character) was recognized
even when quote
Hi Frederic
Perhaps the simplest way to profile the individual functions in your
handlers is to write the individual handlers as regular
named functions, i.e. assigned to a variable in your work space (or function
body)
and then two write the handler functions as wrapper functions that call thes
I'd look into the data.table package.
Cheers,
RMW
On Oct 26, 2012, at 6:00 PM, Frederic Fournier
wrote:
> Hello again,
>
> I have another question related to parsing a very large xml file with SAX:
> what kind of data structure should I favor? Unlike using DOM function that
> can return list
Hello again,
I have another question related to parsing a very large xml file with SAX:
what kind of data structure should I favor? Unlike using DOM function that
can return lists of relevant nodes and let me use various versions of
'apply', the SAX parsing returns me one thing at a time.
I first
Hello everyone,
I'm trying to parse a very large XML file using SAX with the XML package
(i.e., mainly the xmlEventParsing function). This function takes as an
argument a list of other functions (handlers) that will be called to handle
particular xml nodes.
If when I use Rprof(), all the handler
That's simple and appears to work. Thanks for the prompt response.
Ben
--
View this message in context:
http://r.789695.n4.nabble.com/parsing-a-structured-object-tp4647246p4647334.html
Sent from the R help mailing list archive at Nabble.com.
__
R-h
On Oct 23, 2012, at 4:43 PM, BenM wrote:
> Hi All,
> Thanks in advance for your help. I take this to be a very basic
> question, but I'm very new to R.
> I'm trying to figure out how to parse an object. I have the following:
>
>> fileLocation
> location
> 1 foo.c
Hi All,
Thanks in advance for your help. I take this to be a very basic
question, but I'm very new to R.
I'm trying to figure out how to parse an object. I have the following:
> fileLocation
location
1 foo.csv
> fileLocation$location
Problem solved by Josh O'Brien on stackoverflow,
http://stackoverflow.com/questions/12393004/parsing-back-to-messy-api-strcuture/12435389#12435389
some_magic <- function(df) {
## Replace NA with "", converting column types as needed
df[] <- lapply(df, function(X) {
if(any(i
Dear Jim,
Thank you for your response I appreciate your effort!
It is close, I must admit that. What I am looking for is an object
that is identical to 'RAW.API,' or at least in the stricture (I guess
i do not need the ","`Content-Type`" = structure(c("text/html",
"utf-8"), .Names = c("",
"charse
This is close, but it does quote the header names, but does produce
the same dataframe when read back in:
> RAW.API <-
> structure("id,event_arm,name,dob,pushed_text,pushed_calc,complete\n\"01\",\"event_1_arm_1\",\"John\",\"1979-05-01\",\"\",\"\",2\n\"01\",\"event_2_arm_1\",\"John\",\"2012-09-02\
Dear R experts,
I'm reading data from an online database via API and it gets delivered in this
messy comma separated structure,
> RAW.API <-
> structure("id,event_arm,name,dob,pushed_text,pushed_calc,complete\n\"01\",\"event_1_arm_1\",\"John\",\"1979-05-01\",\"\",\"\",2\n\"01\",\"event_2_arm_1\
If this is an option for you: An xml database can handle (very) huge xml
files and let you query nodes very efficiently.
Then, you could query the xml databse from R (using REST) to do your
statistics.
There are some open source xquery/xml databases available.
2012/8/11 Frederic Fournier
> Hell
Hi Frederic
You definitely want to be using xmlParse() (or equivalently
xmlTreeParse( , useInternalNodes = TRUE)).
This then allows use of getNodeSet()
I would suggest you use Rprof() to find out where the bottlenecks arise,
e.g. in the XML functions or in S4 code, or in your code th
On 08/10/2012 03:46 PM, Frederic Fournier wrote:
Hello everyone,
I would like to parse very large xml files from MS/MS experiments and
create R objects from their content. (By very large, I mean going up to
5-10Gb, although I am using a 'small' 40M file to test my code.)
I'm not 100% sure of i
Hello everyone,
I would like to parse very large xml files from MS/MS experiments and
create R objects from their content. (By very large, I mean going up to
5-10Gb, although I am using a 'small' 40M file to test my code.)
My first attempt at parsing the 40M file, using the XML package, took more
Here is one way of doing it; it reads the file and create a 'long' version.
##
input <- file("/temp/ClinicalReports.txt", 'r')
outFile <- '/temp/output.txt' # tempfile()
output <- file(outFile, 'w')
writeLines("ID, Date, variable, value", output)
ID <- NULL
dataSw <- NULL
repeat{
lin
Ooops,
I forgot to specify that for each raw, containing records of the clinical
reports , the values of the 22 parameter measurement have to be reported.
For example, first raw, first 5 columns:
ID DATE GLICEMIA AZOTEMIA
CREATININEMIASODIEMIA ...
Hello, I have a .txt file with many clinical exams reports (two examples of
which are attached to the message).
I have to create a data frame with as many rows as the number of clinical
exams reports in the text file and 24 columns:
the first (to be labelled as "ID") with a number (representing an
Will this do it for you:
> x <- readLines(textConnection("A,B,C
+ B,B
+ A,AA,C
+ A,B,BB,BBB,B,B"))
> closeAllConnections()
> x.s <- strsplit(x, ',')
> # determine max length
> x.max <- max(sapply(x.s, length))
> # create character matrix
> x.mat <- matrix(
+ sapply(x.s, function(a) c(a, rep(NA
Well how do you want it be made into a matrix if the rows are all
different lengths? Methinks you are finding this tricky for a
reason...
Michael
On Mon, Oct 3, 2011 at 11:40 AM, Benjamin Wright wrote:
>
> I'm struggling to find a way of parsing a vector of data in this sort of form:
>
> A,B,C
>
I'm struggling to find a way of parsing a vector of data in this sort of form:
A,B,C
B,B
A,AA,C
A,B,BB,BBB,B,B
into a matrix (or data frame). The catch is that I don't know a priori how many
entries there will be in each element, nor how many characters there will be.
strsplit(vec,",") gets me
On 11-09-16 4:48 PM, Tarca, Adi wrote:
Hi all,
I am trying to run R CMD check on a package which passes R CMD INSTALL.
The check stops because of a parsing problem in the example of a given function
at this line:
return(res[res$ID %in% list$targetGeneSets,])
The code is ok, since it runs if I
Hi all,
I am trying to run R CMD check on a package which passes R CMD INSTALL.
The check stops because of a parsing problem in the example of a given function
at this line:
return(res[res$ID %in% list$targetGeneSets,])
The code is ok, since it runs if I paste it in R.
Is this a known parsing i
Hi,
I am new to R. Does anyone have a perl-style regular expression for use with
the R str_match_all() function for parsing the Combined Log Format [1] that
is commonly used by Apache and other web servers to log data.
Using Google I could find regexs written for many different languages, but I
w
On Mon, Mar 7, 2011 at 10:45 PM, Eric Fail wrote:
> Thanks to Gabor Grothendieck and Dennis Murphy I can now solve first
> part of my problem and already impress my colleagues with the
> R-program below (I know it could be written in a smarter way, but I am
> learning). It reads my partly comma se
Thanks to Gabor Grothendieck and Dennis Murphy I can now solve first
part of my problem and already impress my colleagues with the
R-program below (I know it could be written in a smarter way, but I am
learning). It reads my partly comma separated partly underscore
separated string and cleans it up
On Sun, Mar 6, 2011 at 10:13 PM, Eric Fail wrote:
> Dear R-list,
>
> I have a partly comma separated partly underscore separated string that I am
> trying to parse into R.
>
> Furthermore I have a bunch of them, and they are quite long. I have now spent
> most of my Sunday trying to figure this
Hi:
This should get you most of the way there; I'll let you figure out how to
assign the BLOCK and RUN numbers.
tx <- "Subject ID,ExperimentName,2010-04-23,32:34:23,Version 0.4, 640 by
960 pixels, On Device M, M, 3.2.4,
zz_373_462_488_...@9z.svg,592,820,3.35,zz_032_288_436_...@9z.svg
,332,878,3.
On 6-Mar-11, at 7:13 PM, Eric Fail wrote:
Dear R-list,
I have a partly comma separated partly underscore separated string
that I am trying to parse into R.
Furthermore I have a bunch of them, and they are quite long. I have
now spent most of my Sunday trying to figure this out and thought
Dear R-list,
I have a partly comma separated partly underscore separated string that I am
trying to parse into R.
Furthermore I have a bunch of them, and they are quite long. I have now spent
most of my Sunday trying to figure this out and thought I would try the list to
see if someone here wo
On 01/07/2011 12:05 AM, Dieter Menne wrote:
>
>
> Jeroen Ooms wrote:
>>
>> What is the most efficient method of parsing a dataframe-like structure
>> that has been json encoded in record-based format rather than vector
>> based. For example a structure like this:
>>
>> [ {"name":"joe", "gender":"
Jeroen Ooms wrote:
>
> What is the most efficient method of parsing a dataframe-like structure
> that has been json encoded in record-based format rather than vector
> based. For example a structure like this:
>
> [ {"name":"joe", "gender":"male", "age":41}, {"name":"anna",
> "gender":"female",
What is the most efficient method of parsing a dataframe-like structure that
has been json encoded in record-based format rather than vector based. For
example a structure like this:
[ {"name":"joe", "gender":"male", "age":41}, {"name":"anna",
"gender":"female", "age":23} ]
RJSONIO parses this a
> From: han...@depauw.edu
> To: dwinsem...@comcast.net
> Date: Sun, 26 Dec 2010 22:36:49 -0500
> CC: r-h...@stat.math.ethz.ch
> Subject: Re: [R] Parsing a Simple Chemical Formula
>
> Hi David & others...
>
> I did find the function you recommended, plus, it'
> Date: Sun, 26 Dec 2010 20:24:23 -0800
> From: spencer.gra...@structuremonitoring.com
> To: han...@depauw.edu
> CC: r-h...@stat.math.ethz.ch
> Subject: Re: [R] Parsing a Simple Chemical Formula
>
> Mike Marchywka's pos
Mike Marchywka's post mentioned a CRAN package, "rpubchem",
missed by my search for "chemical formula". A further search for
"chemical" and "chemistry" still missed it. "compound" found it.
Adding "compounds" and combining them with "union" produced a list of
564 links in 219 packages;
On Sun, Dec 26, 2010 at 7:26 PM, Gabor Grothendieck
wrote:
> On Sun, Dec 26, 2010 at 6:29 PM, Bryan Hanson wrote:
>> Hello R Folks...
>>
>> I've been looking around the 'net and I see many complex solutions in
>> various languages to this question, but I have a pretty simple need (and I'm
>> not
Hi David & others...
I did find the function you recommended, plus, it's even easier (but a
little hidden in the doc): >element(form, "mass"). But, this uses the
atomic masses from the periodic table, which are weighted averages of
the isotopes of each element. What I'm doing actually inv
On Dec 26, 2010, at 8:28 PM, Bryan Hanson wrote:
Thanks Spencer, I'll definitely have a look at this package and it's
vignettes. I believe I have looked at it before, but didn't catch
it on this particular search. Bryan
Using the thermo list that the makeup function accesses to get its
di...@gmail.com
> Date: Sun, 26 Dec 2010 20:01:45 -0500
> CC: r-h...@stat.math.ethz.ch
> Subject: Re: [R] Parsing a Simple Chemical Formula
>
> Well let me just say thanks and WOW! Four great ideas, each worthy of
> study and I'll learn several things from each. Interestingly,
Thanks Spencer, I'll definitely have a look at this package and it's
vignettes. I believe I have looked at it before, but didn't catch it
on this particular search. Bryan
On Dec 26, 2010, at 8:16 PM, Spencer Graves wrote:
p.s. help(pac=CHNOSZ) reveals that this package has 3 vignettes. I
p.s. help(pac=CHNOSZ) reveals that this package has 3 vignettes. I
have not looked at these vignettes, but most vignettes provide excellent
introductions (though rarely with complete coverage) of important
capabilities of the package. (The 'sos' package includes a vignette,
which exposes mor
Have you considered the 'CHNOSZ' package?
> makeup("C5H11BrO" )
count
C 5
H 11
Br 1
O 1
I found this using the 'sos' package as follows:
library(sos)
cf <- ???'chemical formula'
found 21 matches; retrieving 2 pages
cf
The print method for "cf" opened
Well let me just say thanks and WOW! Four great ideas, each worthy of
study and I'll learn several things from each. Interestingly, these
solutions seem more general and more compact than the solutions I
found on the 'net using python and perl. More evidence for the power
of R! A big th
On Dec 26, 2010, at 6:29 PM, Bryan Hanson wrote:
Hello R Folks...
I've been looking around the 'net and I see many complex solutions
in various languages to this question, but I have a pretty simple
need (and I'm not much good at regex). I want to use a chemical
formula as a function ar
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