Hello,
I'm getting an error when running your code:
learner = lrn("classif.randomForest", predict_type = "prob")
#> Error: Element with key 'classif.randomForest' not found in
DictionaryLearner!
Rui Barradas
Às 14:12 de 20/05/2022, Neha gupta escreveu:
When I run
print(fc)
it shows
factor function.
You probably modified the code from help page but in that case you should
check if all your objects are the same mode and structure as the objects in
help page code.
Cheers
Petr
From: Neha gupta
Sent: Friday, May 20, 2022 3:22 PM
To: PIKAL Petr
Cc: r-help mailing list
Subject
Actually it's found in a library (mlr3extralearners). I have already
imported this library in my code.
On Friday, May 20, 2022, Rui Barradas wrote:
> Hello,
>
> I'm getting an error when running your code:
>
> learner = lrn("classif.randomForest", predict_type = "prob")
> #> Error: Element with
When I run
print(fc)
it shows 'Inf'. It mean it doesn't calculate the bias/fairness, maybe due
to missing values.
RF passes 1/5 metrics
Total loss : Inf
On Fri, May 20, 2022 at 3:06 PM Rui Barradas wrote:
> Hello,
>
> This is a frequent way of coding and a source for questions.
>
>
>
nt: Friday, May 20, 2022 10:16 AM
> To: Jeff Newmiller
> Cc: r-help mailing list
> Subject: Re: [R] missing values error in if statement
>
> I am sorry.. The code is here and data is provided at the end of this
> email.
>
> data = readARFF("aho.arff")
>
&
Not reproducible. Posted HTML.
On May 19, 2022 2:30:58 PM PDT, Neha gupta wrote:
>Why do I get the following error when my variable in the 'if statement' has
>no missing values.
>
>I check with is.na(my variable) and it has no missing values
>
>Error in if (fraction <= 1) { : missing value where
Why do I get the following error when my variable in the 'if statement' has
no missing values.
I check with is.na(my variable) and it has no missing values
Error in if (fraction <= 1) { : missing value where TRUE/FALSE needed
Best regards
[[alternative HTML version deleted]]
Are you missing values coded as missing values? That is, are they NA? Such
NA-values should be handled by vegan::monoMDS. Naturally, it can be possible
that your data set cannot be meaningfully analysed if you have too many missing
values or missing values are grouped in peculiar ways.
Sent: Wednesday, April 18, 2018 3:42 AM
To: David L Carlson <dcarl...@tamu.edu>
Subject: RE: nMDS with R: missing values
Dear Prof Carlson,
Thank you for your reply. I'm using 'vegan' with 'vegdist' and 'bray'. I have a
selection of datasets that cover different time periods (converted to
z
College Station, TX 77843-4352
0-Original Message-
From: R-help <r-help-boun...@r-project.org> On Behalf Of Jessie Woodbridge
Sent: Tuesday, April 17, 2018 2:05 PM
To: r-help@r-project.org
Subject: [R] nMDS with R: missing values
Dear All,
I was wondering whether anyone might b
Dear All,
I was wondering whether anyone might be able to provide some advice with an
nMDS / R problem. I’m trying to run nMDS on a dataset that contains many
missing values and was wondering how I can account for the missing values when
running nMDS? It seems as though the data are being
Dear All,
I was wondering whether anyone might be able to provide some advice with an
nMDS / R problem. I'm trying to run nMDS on a dataset that contains many
missing values and was wondering how I can account for the missing values when
running nMDS? It seems as though the data are being
ct.org] On Behalf Of
> g.maub...@weinwolf.de
> Sent: Tuesday, April 26, 2016 10:10 AM
> To: r-help@r-project.org
> Subject: [R] Missing Values in Logical Expressions
>
> Hi All,
>
> I need to evaluate missing values in my data. I am able to filter these values
> and do
Hi Georg,
You could just use this:
Umsatz_2011<-c(1,2,3,4,5,NA,7,8,NA,10)
Kunde_2011<-rep(0:1,5)
Check_Kunde_2011<-
c("OK","Check")[as.numeric(is.na(Umsatz_2011) & Kunde_2011 == 1)+1]
Check_Kunde_2011 will be a vector of strings.
Jim
On Tue, Apr 26, 2016 at 6:09 PM,
Hi All,
I need to evaluate missing values in my data. I am able to filter these
values and do simple statistics on it. But I do need new variables based
on variables with missing values in my dataset:
Check_Kunde_2011 <- ifelse(is.na(Umsatz_2011) == TRUE & Kunde_2011 == 1,
1, 0)
You can add the argument na.print=" " to print() to make
the missing values print as " " instead of as NA. Some,
but not all print methods support this. E.g.,
> print(c(1,2,NA,4,5,NA), na.print="-")
[1] 1 2 - 4 5 -
> print(matrix(c(1,2,NA,4,5,NA),2), na.print="-")
[,1] [,2] [,3]
[1,]
> Is it possible to get object where missing values aren't replaced with NAs?
Not with read.table, if they are really missing. But you can replace them later
- see below - and if they are marked you can change what read.table considers
to be 'missing'.
> Is it possible to replace NAs with empty
Assuming it is a character variable
test <- c("a", NA, "b")
> test
[1] "a" NA "b"
> test[is.na(test)] <- " "
> test
[1] "a" " " "b"
but if it is numeric this as, as others have said, almost certainly not
what you really wanted to do
On 17/02/2016 10:04, Jan Kacaba wrote:
In my original
ruary 17, 2016 2:01 PM
> To: Jan Kacaba
> Cc: r-help@r-project.org
> Subject: Re: [R] missing values in csv file
>
> On Wed, Feb 17, 2016 at 12:04 PM, Jan Kacaba <jan.kac...@gmail.com>
> wrote:
>
> > In my original data a csv file I have missing values. If I us
On Wed, Feb 17, 2016 at 12:04 PM, Jan Kacaba wrote:
> In my original data a csv file I have missing values. If I use read.table
> the missing values are replaced by NAs.
>
That is the normal way of dealing with missing values, in R.
Is it possible to get object where
In my original data a csv file I have missing values. If I use read.table
the missing values are replaced by NAs.
Is it possible to get object where missing values aren't replaced with NAs?
Is it possible to replace NAs with empty space?
[[alternative HTML version deleted]]
HI Petr,There is no reason for holding back the data from dput format. The
reason for not supplying is that i tried multiple times but it the output
what comes is not really user friendly is what i think.Not sure if i am
missing a trick somewhere as i tried both the dput and dget options. Though
] On Behalf Of Shivi82
Sent: Tuesday, June 16, 2015 8:20 AM
To: r-help@r-project.org
Subject: Re: [R] Missing Values in Table Statement
HI Petr,There is no reason for holding back the data from dput format.
The reason for not supplying is that i tried multiple times but it the
output what comes
d c
table(is.na(test))
FALSE
10
Cheers
Petr
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Shivi82
Sent: Saturday, June 13, 2015 6:36 AM
To: r-help@r-project.org
Subject: Re: [R] Missing Values in Table Statement
HI Don
Hi
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Shivi82
Sent: Friday, June 12, 2015 8:28 AM
To: r-help@r-project.org
Subject: Re: [R] Missing Values in Table Statement
Hi Petr,
Probably i did not explain my scenario clearly.
table(test
Hi Petr, Please see the output from dget as follows.
ORIGIN ORIGIN_NAME DESTINATION DESTINATION_NM RPS_NO
VENDOR_NAME CR_DT SCHD_MRKT VHL_NO vhl_cap
1 DLI11DELHI-11 NDA50NOIDA-50 1350760
Hi
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Shivi82
Sent: Friday, June 12, 2015 7:41 AM
To: r-help@r-project.org
Subject: [R] Missing Values in Table Statement
HI All,
I need help on 2 issues as highlighted below
A)I have 2 variables
Hi Petr,
Probably i did not explain my scenario clearly.
table(test$ORIGIN_NAME,is.na(test$SCH_TIME)) is the syntax with which i am
trying to find per destination wise how many instances are there where
system failed to enter the scheduled delivery time there are multiple
cases of these. I am
HI All,
I need help on 2 issues as highlighted below
A)I have 2 variables:- Sch_Time Origin Name.
Now there are multiple instances where Scheduled time i.e. Sch_Time is
missing from each location hence i need to count how many instances do i
have split on location.
the code i have is :
If possible always supply data in dput() form.
John Kane
Kingston ON Canada
Kindly let me know if i need to supply dput data. Thank you!!!
FREE 3D EARTH SCREENSAVER - Watch the Earth right on your desktop!
HI Don,
This is the exact result i need. However in my case i am not getting any
value under TRUE whereas FALSE captures total observations in each variable.
Please find the syntax and output from the code:
table(test$ORIGIN_NAME,is.na(test$SCH_TIME))
Output
Maybe it will help if I create some fake data to illustrate what I think
you want:
set.seed(25)
tmp - data.frame(origin=sample( letters[1:3], 25, replace=TRUE),
schd= sample( 1:5, 25, replace=TRUE)
)
tmp$schd[ c(5,7,18,22) ] - NA
print(tmp)
table(
Dear All,
I've an array with some missing values (NA) in between. I want to remove
that particular matrix if a missing value is detected. How can I do so?
Thank you very much.
Best regards,
Ray
[[alternative HTML version deleted]]
__
-project.org
Cc:
Sent: Friday, March 15, 2013 12:08 PM
Subject: [R] missing values in an array
Dear All,
I've an array with some missing values (NA) in between. I want to remove
that particular matrix if a missing value is detected. How can I do so?
Thank you very much.
Best regards,
Ray
On 15-03-2013, at 17:08, Ray Cheung ray1...@gmail.com wrote:
Dear All,
I've an array with some missing values (NA) in between. I want to remove
that particular matrix if a missing value is detected. How can I do so?
Thank you very much.
It is not clear what the dimension of your array
Thank you very much. Arun's reply is exactly what I need. Thank you once
again!~
ray
On Sat, Mar 16, 2013 at 12:31 AM, Berend Hasselman b...@xs4all.nl wrote:
On 15-03-2013, at 17:08, Ray Cheung ray1...@gmail.com wrote:
Dear All,
I've an array with some missing values (NA) in between. I
Hello everybody!
I am trying to replace community numbers with community names (character).
I am using the following code:
data[data$commNo==786, commNo]-Name of the Community
Unfortunately, I get the error message
missing values are not allowed in subscripted assignments of data frames
I am trying to replace community numbers with community
names (character).
I am using the following code:
data[data$commNo==786, commNo]-Name of the Community
Unfortunately, I get the error message
missing values are not allowed in subscripted assignments of
data frames
However,
On Jan 21, 2013, at 7:35 AM, David Studer wrote:
Hello everybody!
I am trying to replace community numbers with community names
(character).
I am using the following code:
data[data$commNo==786, commNo]-Name of the Community
data$commNo is probably a factor. As such the equality test
Cc:
Sent: Monday, January 21, 2013 10:35 AM
Subject: [R] missing values are not allowed in subscripted assignments of data
frames
Hello everybody!
I am trying to replace community numbers with community names (character).
I am using the following code:
data[data$commNo==786, commNo]-Name
787 9.714226
#5 Name of the Community 10.138108
A.K.
- Original Message -
From: David Studer stude...@gmail.com
To: r-help@r-project.org
Cc:
Sent: Monday, January 21, 2013 10:35 AM
Subject: [R] missing values are not allowed in subscripted assignments of data
frames
Hello everybody
model-geeglm(outcome~predictor+confounder, family=binomial(link = logit),
data=na.omit(DataMiss), corstr='ar1', id=id, std.err=san.se)
There could be other variables in DataMiss that have many missing values, so
when you apply na.omit() on DataMiss, you may be ending up with an empty
I am using bootstrap and cannot figure how to tell R to ignore missing values
(NA)
I tried this syntax and it did not work. The name of the file is banks the
column two.
bootmean(banks$two,na.rm = True, conf = 90,nrep = 1000)
--
View this message in context:
True != TRUE ## All CAPS!
-- Bert
On Thu, Sep 13, 2012 at 12:41 PM, grond agel...@usgs.gov wrote:
I am using bootstrap and cannot figure how to tell R to ignore missing values
(NA)
I tried this syntax and it did not work. The name of the file is banks the
column two.
Don't give it any. Instead of banks$two, use na.omit(banks$two).
---
Jeff NewmillerThe . . Go Live...
DCN:jdnew...@dcn.davis.ca.usBasics: ##.#. ##.#. Live Go...
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
project.org] On Behalf Of Jeff Newmiller
Sent: Thursday, September 13, 2012 1:46 PM
To: grond; r-help@r-project.org
Subject: Re: [R] Missing Values
Don't give it any. Instead of banks$two, use na.omit
thank you for the help
So will the entire syntax appear as
bootmean(na.omit(banks$two),na.rm = TRUE, conf = 90,nrep = 1000)
From:
Jeff Newmiller jdnew...@dcn.davis.ca.us
To:
grond agel...@usgs.gov, r-help@r-project.org
Date:
09/13/2012 04:46 PM
Subject:
Re: [R] Missing Values
Don't give
this worked
bootmean(na.omit(Xt$Y), conf = 90,nrep = 1000)
thanks
From:
Jeff Newmiller [via R] ml-node+s789695n4643072...@n4.nabble.com
To:
grond agel...@usgs.gov
Date:
09/13/2012 04:48 PM
Subject:
Re: Missing Values
Don't give it any. Instead of banks$two, use na.omit(banks$two).
] [mailto:r-help-bounces@r-
project.org] On Behalf Of Jeff Newmiller
Sent: Thursday, September 13, 2012 1:46 PM
To: grond; [hidden email]
Subject: Re: [R] Missing Values
Don't give it any. Instead of banks$two, use na.omit(banks$two
Dear all
I am struggling with how to deal with missing values using geeglm. I know
that geeglm only works with complete datasets, but I cannot seem to get the
na.omit function to work. For example
assuming DataMiss contains 3 columns, each of which has missing
observations, and an id column
Hello forum,
I am using R to do some Exploratory analysis on my data resulting in the
following 4 plots. #1- Histogram of the variable; #2- Kernel density
estimation of the variable; #3- Normal Q-Q plot ; #4- Box-plot of the
variable.
The error message comes in when i try to plot # 2 above
On Thu, 17 Feb 2011, Andrew Ziem wrote:
After ctree builds a tree, how would I determine the direction missing values
follow by examining the BinaryTree-class object? For instance in the example
below Bare.nuclei has 16 missing values and is used for the first split, but
the missing
After ctree builds a tree, how would I determine the direction missing values
follow by examining the BinaryTree-class object? For instance in the example
below Bare.nuclei has 16 missing values and is used for the first split, but
the missing values are not listed in either set of factors.
Dear all,
i have spent a lot of time trying to solve this problem, but I am sure that
there must be a simple solution. So, as a last resort, I am coming back to you
again. I have a dataset with some (almost random) values in many variables.
Lets
say that the dataset represents the scores of
Hi,
(a) sum() and mean() have a na.rm argument that should be set to TRUE.
(b) let's try with an example:
x - c(1:5, NA, NA, 6:10, NA)
x[is.na(x)] - 0 ## replace NAs by 0
HTH,
Ivan
Le 12/1/2010 10:00, Iasonas Lamprianou a écrit :
Dear all,
i have spent a lot of time trying to solve this
And just to add to Ivan's comment, if you are using the rowSums or
colSums functions with a matrix or data.frame they also have the na.rm
argument.
Michael
On 1 December 2010 20:16, Ivan Calandra ivan.calan...@uni-hamburg.de wrote:
Hi,
(a) sum() and mean() have a na.rm argument that should be
; Rhelp
r-help@r-project.org
Sent: Wed, 1 December, 2010 11:40:13
Subject: Re: [R] missing values
And just to add to Ivan's comment, if you are using the rowSums or
colSums functions with a matrix or data.frame they also have the na.rm
argument.
Michael
On 1 December 2010 20:16, Ivan Calandra
Bedward; ivan.calan...@uni-hamburg.de; Rhelp
Subject: Re: [R] missing values
thank you, I'll have a go and let you know if i have problems
Dr. Iasonas Lamprianou
Assistant Professor (Educational Research and Evaluation)
Department of Education Sciences
European University-Cyprus
P.O. Box
michael.bedw...@gmail.com; ivan.calan...@uni-hamburg.de
ivan.calan...@uni-hamburg.de; Rhelp r-help@r-project.org
Sent: Wed, 1 December, 2010 18:39:42
Subject: RE: [R] missing values
You can also explore the classical() function in the MiscPsycho package that
does item analysis.
-Original
To: r-help@r-project.org
Subject: [R] Missing values in function calls
Hello,
I would like to ask you how to determine if function value is missing
for particular function call. I mean if I define function
f
__
R-help@r-project.org mailing
Hi folks,
Could you please help me to understand;
An Introduction to R
http://cran.r-project.org/doc/manuals/R-intro.html#Logical-vectors
The function is.na(x) gives a logical vector of the same size as x with value
TRUE if and only if the corresponding element in x is NA.
z -
NA is a value that you can use for missing or inapplicable. It is
also the value returned by R functions to indicate missing (e.g. if
you use the match function to search a vector for a particular value,
but the value isn't present, match will return NA).
NaN means that the value wasn't missing
- Original Message
From: Michael Bedward michael.bedw...@gmail.com
To: Stephen Liu sati...@yahoo.com
Cc: r-help@r-project.org
Sent: Tue, August 17, 2010 3:57:05 PM
Subject: Re: [R] Missing values
NA is a value that you can use for missing or inapplicable. It is
also the value returned
Hello,
I would like to ask you how to determine if function value is missing for
particular function call. I mean if I define function
f
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting
On Aug 17, 2010, at 8:22 AM, vo...@cbox.cz wrote:
Hello,
I would like to ask you how to determine if function value is
missing for particular function call. I mean if I define function
?is.na
f
David Winsemius, MD
West Hartford, CT
__
- Original Message -
From: Stephen Liu sati...@yahoo.com
To: r-help@r-project.org
Sent: Tuesday, August 17, 2010 8:25 AM
Subject: Re: [R] Missing values
- Original Message
From: Michael Bedward michael.bedw...@gmail.com
To: Stephen Liu sati...@yahoo.com
Cc: r-help@r
- Original Message
From: Robert Baer rb...@atsu.edu
To: Stephen Liu sati...@yahoo.com; r-help@r-project.org
Sent: Wed, August 18, 2010 2:43:27 AM
Subject: Re: [R] Missing values
Hi Robert,
- snip -
z - c(1:3,NA); ind - is.na(z)
# To see the logical vector the same size
Hi all,
I am trying to find the autocorrelation of some time series. I
have say 100 files, some files have only missing values(-99.99, say). I dont
want to exclude these files as they represent some points in a grid. But
when the acf command is issued i get an error.
Error in
Could you specify the problem and give a minimal example that represents
your datastructure and reproduces the error? See also the posting guides :
http://www.R-project.org/posting-guide.htmlhttp://www.r-project.org/posting-guide.html
Cheers
Joris
On Mon, May 31, 2010 at 1:12 PM, nuncio m
I'm working with the ncdf package, and I'm seeing a behavior which I
am unsure whether it is a bug or a feature. I am creating a variable,
which I make with the precision of byte and also set a missing
value, When I put into this variable, all my NA values are put in
properly as the missing
Dear All,
I have two factors: GROUP and PATIENT, where PATIENT is nested within
GROUP.
levels(example$GROUP)
[1] 0 1 2 3 4
levels(example$PATIENT)
[1] 1 2 3
There are three observations at each combination of these factors.
However, there are no observations for PATIENT = 3 and GROUP =
No matter how I´ve tried o find a solution for this simple question, I can´t.
Sorry for bothering with such a matter.
I have an excel-files with some empty cells=missing values. How do I tell R
that these should be NA´s?
TRFLP1 -(read.table(file=S://SEDIM//Kokeilu//TRFLP1.txt,col.names=
What exactly is on line 1743?
Genuinely empty cells will probably read as NA anyway. Excel errors, prefixed #
in excel, will be read as comment markers and cause the remainder of the line
to be ignored. This often causes this kind of error.
Steve E
Monna Nygård [EMAIL PROTECTED] 30/04/2008
Monna Nygård wrote:
No matter how I´ve tried o find a solution for this simple question, I can´t.
Sorry for bothering with such a matter.
I have an excel-files with some empty cells=missing values. How do I tell R that these should be NA´s?
TRFLP1
How are the 'empty' cell identified? It appears that you are using
the default of read.table which says blanks are the delimiters. How
are two or more empty cells identified? Can you output a CSV file so
that you have commas as separators so you can identify the empty
fields?
On Wed, Apr 30,
I am using psm to fit a survival model with a dataset that has missing
values,
e.g., DS -psm(Surv(los,DSCHRG) ~AGE + SEX + ACUITY,
data=LOS,dist='weibull',x=TRUE,y=TRUE)
and I notice that when I look at the output there are 0 missing values and
when I use the summary function
e.g., summary(DS)
Dear all, Is there a best way to do the following task? x =
rep(c(A,B),5)y = rnorm(10)data =
data.frame(x,y)data$y[1:2] = c(NA,NA)means =
ave(data$y,as.character(data$x),FUN=function(x)mean(x,na.rm=T))aux =
Dear all, there is a best way to do the following task?
x = rep(c(A,B),5)
y = rnorm(10)
data = data.frame(x,y)
data$y[1:2] = c(NA,NA)
means = ave(data$y,as.character(data$x),FUN=function(x)mean(x,na.rm=T))
aux = which(is.na(data$y))
Here's my take on it, don't know if you cared at all about optimizing
the first couple of lines:
data - data.frame(x=rep(c(A,B),5), y=c(NA,NA,rnorm(8)))
means - with(data,ave(y, as.character(x), FUN=function(x) mean(x,
na.rm=TRUE)))
data$y - ifelse(is.na(data$y),means,data$y)
I tend to not
you could use this instead of the last two statements; don't know if
it makes any simpler since it is just combining into one statement
what you had in two:
data$y[is.na(data$y)] - means[is.na(data$y)]
On Nov 23, 2007 1:49 PM, lamack lamack [EMAIL PROTECTED] wrote:
Dear all, there is a best
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