Assuming the input data.frame, DF, is of the form shown reproducibly
in the Note below, to convert the series to zoo or ts:
library(zoo)
# convert to zoo
z <- read.zoo(DF)
# convert to ts
as.ts(z) #
Note:
DF <- structure(list(year = c(1980, 1981, 1982, 1983, 1984), cnsm = c(174,
175, 175, 17
Hi Ferri,
Do you mean getting something like the vector of original values back?
boodat<-sample(LETTERS[1:4],100,TRUE)
bootab<-table(boodat)
untab<-function(x) {
lenx<-length(x)
newx<-NULL
for(i in 1:lenx) newx<-c(newx,rep(names(x)[i],x[i]))
return(newx)
}
untab(bootab)
Jim
On Thu, Sep 21, 2
Hello,
Also, the other file, NPA.csv, is not in tabular form. Can you please
reformat it?
Rui Barradas
Citando ruipbarra...@sapo.pt:
Hello,
Please keep this on the list, always cc r-help.
One of the files in your attachment is empty:
y <- read.csv(file.choose("GT.csv"))
Error in read.tab
Hello,
Please keep this on the list, always cc r-help.
One of the files in your attachment is empty:
y <- read.csv(file.choose("GT.csv"))
Error in read.table(file = file, header = header, sep = sep, quote = quote, :
no lines available in input
Rui Barradas
Citando Chaitanya Ganne :
> Than
Note that this data.frame(table(...)) makes a column for each argument to
table(...), plus a column for the frequencies so you can easily deal with
multiway tabulations.
> rawData <- data.frame(
+ sizes = c("Small", "Large", "Large", "Large"),
+ colors = c("Red", "Blue", "Blue", "Red"),
+
On 21/09/2017 11:30 AM, Axel Urbiz wrote:
Thank you Thierry. I'm trying to following your suggestion in the example
below, but getting:
Error in get("xs", envir = my.env) : object 'my.env' not found.
library(shiny)
library(shinydashboard)
myApp <- function(x, ...) {
xs <- scale(x)
my.
Thank you Thierry. I'm trying to following your suggestion in the example
below, but getting:
Error in get("xs", envir = my.env) : object 'my.env' not found.
library(shiny)
library(shinydashboard)
myApp <- function(x, ...) {
xs <- scale(x)
my.env <- new.env()
assign("xs", xs, envir = my
... which begs the question... how does the my.env variable get from the myApp
function into the server function?
Perhaps read [1]?
[1] https://shiny.rstudio.com/articles/function.html
--
Sent from my phone. Please excuse my brevity.
On September 21, 2017 8:13:15 AM PDT, Thierry Onkelinx
wr
Dear Axel,
I've used environment for such problems.
assign("xs", xs, envir = my.env) in the myApp function
get("xs", envir = my.env) in the server function
Best regards,
ir. Thierry Onkelinx
Statisticus/ Statiscian
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZO
This practice is not portable, as not everyone's default file creation
permissions allow others to read those files, so putting them outside your home
directory isn't necessarily helpful. It is much better to use the default user
library within your home directory as suggested by the R install p
unique(x) will give you the distinct values in x. table(x) will give you
the distrinct values and their frequencies as an array with dimnames.
data.frame(table(x)) will give you a 2-column data.frame with the distinct
values and their frequencies.
> values <- c("Small", "Large", "Large", "Large"
Your question does not make sense. Show us what you have tried. If you cannot
include part of the data you are using, try the Titanic data set included with
R:
> data(Titanic)
> str(Titanic)
table [1:4, 1:2, 1:2, 1:2] 0 0 35 0 0 0 17 0 118 154 ...
- attr(*, "dimnames")=List of 4
..$ Class
Dear Paul,
We install R in C:/R/R-x.y.z and packages in C:/R/library. This makes
the packages location independent from the R version.
Best regards,
ir. Thierry Onkelinx
Statisticus/ Statiscian
Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE
Dear all,
ftable produces a list of the frequencies of all occuring values.
But how about the occuring values?
How can I retrieve a list of occuring values?
How can I retrieve a table with both the list of occuring values and their
respective frequencies?
Thank you in advance,
Yours, Ferri
_
Dear Leslie and Thierry,
Thank you so much for your kind and extremely valuable replies. Only one
doubt remains, which path do you think is the best option to store
downloaded packages? Should I set it up so that all installed packages are
in the same folder (path) that I installed R? Or can I sim
Dear List,
I'm trying to add a function that calls a Shiny App in my R package. The
issue is that within my function, I'm creating objects that I'd like to
pass to the app. For instance, from the example below, I'm getting
"Error: object
'xs' not found". How can I pass "xs" explicitly to shinyApp(
Hi Paul,
I recently ran into file path conflicts and found the following useful
(looks like you already know the answer to 1.):
1. Use .libPaths() to find where packages are being stored.
2. To change this path: Control Panel > search “View advanced system
settings” > Environment Var
Dear Paul,
Maybe some of the packages were installed by a user with admin rights
and you are installing them with a user how has no admin rights. Thus
you have no rights to remove the files created by the admin user.
We made clear to our IT departement that they only may install R and
not additio
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