Displaying 20 results from an estimated 8000 matches similar to: "Changing Y axis in R"
2007 Apr 12
3
Putting 2 breaks on Y axis
R plotting experts:
I have a bivariate dataset composed of 300 (x,y) continuous datapoints.
297 of these points are located within the y range of [0,10], while 2
are located at 20 and one at 55. No coding errors, real outliers.
When plotting these data with a scatterplot, I obviously have a problem.
If I plot the full dataset with ylim = c(0,55), then I cannot see the
structure in the data in
2009 Sep 12
1
medcouple-based outlier detection in R
I need to detect outliers in a large data set which is highly right-skewed. I plan to use medcouple-based outlier detection. Is there any support for medcouple-based outlier detection in R? Are there any other routines in R to perform outlier detection in highly right-skewed data?
Manuj Sharma
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2006 Apr 05
1
Uneven y-axis scale
Dear R-gurus!
Is it possible within boxplot to break the y-scale into two (or
anything)? I'd like to have a normal linear y-range from 0-10 and the
next tick mark starting at, say 60 and continue to 90. The reason is for
better visualising the outliers.
All the best,
Kare
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2006 Apr 09
1
RadRails question
I do apologize for asking this question here, but it seemed like the
appropriate place:
I keep trying to move from jEdit to RadRails for my ruby/rails
development but there are a few things holding me back. I''m wondering
if anybody could tell me whether these features are truly missing, or
if I''m just missing how to make them work.
Firstly, it doesn''t truly auto
2011 Oct 20
2
How to remove multiple outliers
Hi All,
I am working on the dataset in which some of the variables have more than
one observations with outliers .
I am using below mentioned sample script
library(outliers)
x1 <- c(10, 10, 11, 12, 13, 14, 14, 10, 11, 13, 12, 13, 10, 19, 18, 17,
10099, 10099, 10098)
outlier_tf1 = outlier(x1,logical=TRUE)
find_outlier1 = which(outlier_tf1==TRUE, arr.ind=TRUE)
beh_input_ro1 =
2011 Sep 28
1
removing outliers in non-normal distributions
Hello,
I'm seeking ideas on how to remove outliers from a non-normal distribution
predictor variable. We wish to reset points deemed outliers to a truncated
value that is less extreme. (I've seen many posts requesting outlier removal
systems. It seems like most of the replies center around "why do you want to
remove them", "you shouldn't remove them", "it
2010 Nov 30
3
Outlier statistics question
I have a statistical question.
The data sets I am working with are right-skewed so I have been
plotting the log transformations of my data. I am using a Grubbs Test
to detect outliers in the data, but I get different outcomes depending
on whether I run the test on the original data or the log(data). Here
is one of the problematic sets:
fgf2p50=c(1.563,2.161,2.529,2.726,2.442,5.047)
2010 Jan 19
5
How to detect and exclude outliers in R?
Suppose I am reading data from a file and the data contains some outliers. I
want to know if it is possible in R to automatically detect outliers in a
dataset and remove them
--
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2012 Jun 01
1
Drop values of one dataframe based on the value of another
Hello all,
Let me first say that this isn't a question about outliers. I am using
the outlier function from the outliers package but I am using it only
because it is a convenient wrapper to determine values that have the
largest difference between itself and the sample mean. Where I am
running into problems is that I am several groups where I want to
calculate the "outlier" within
2009 Aug 20
2
boxplot with log="y" and values starting at 0
Hi,
I'm working with a data.frame containing values between 0 and 22000.
Most of the values are actually between 0 and 50 and the high ones are
outliers.
I want to generate a boxplot and since the outliers are extremely
high, I need to scale the y scale logarithmically. Otherwise one
wouldn't really see the boxes of the boxplot.
boxplot(dat, log="y", ylim=c(0,
2012 Feb 09
1
Outlier removal techniques
Hello,
I need to analyse a data matrix with dimensions of 30x100.
Before analysing the data there is, however, a need to remove outliers from
the data.
I read quite a lot about outlier removal already and I think the most common
technique for that seems to be Principal Component Analysis (PCA). However,
I think that these technqiue is quite subjective. When is an outlier an
outlier?
I uploaded
2014 Jul 14
2
outliers (Marta valdes lopez)
Hola Marta,
si observas cualquier artículo de psicología esto es una práctica típica.
Te digo psicología porque creo que tus datos son de ese tipo. Tienes
bibiligrafía de artículos cientificos en las que se quitan valores
siguiendo los criterios que te he dicho solo has de buscar bibliografía del
campo en el que te mueces. Osea que nos quitarlos por que sí, aunque en
cada area de ciencia tienes
2005 Apr 22
2
Hoaglin Outlier Method
I am a new user of R so please bear with me. I have reviewed some R books,
FAQs and such but the volume of material is great. I am in the process of
porting my current SAS and SVS Script code to Lotus Approach, R and
WordPerfect.
My question is, can you help me determine the best R method to implement
the Hoaglin Outlier Method? It is used in the Appendix A and B of the fo
llowing link.
2008 Jan 01
1
Variable scope R 2.6.1
I have the following procedure which worked just fine for in R 2.2.0.
Recently I upgraded to 2.6.1 and now get an error:
> ScatterOutlier(pass_500_506[1:1000,6:12], marginal_500_506[,6:12])
Error in eval(expr, envir, enclos) : object "out" not found
Note that I use the same workspace (and hence data) as in 2.2.0.
When I make sure that the object "out" exists at
2003 Feb 20
3
outliers/interval data extraction
Dear R-users,
I have two outliers related questions.
I.
I have a vector consisting of 69 values.
mean = 0.00086
SD = 0.02152
The shape of EDA graphics (boxplots, density plots) is heavily distorted
due to outliers. How to define the interval for outliers exception? Is
<2SD - mean + 2SD> interval a correct approach?
Or should I define 95% (or 99%) limit of agreement for data interval,
2014 Jul 11
2
outliers (Marta valdes lopez)
Tu fichero tiene los decimales como puntos y no como comas como tu le
indicas. Te dejo un ejemplo
#---------------------------------------------------------------------------------------------------------------------
setwd(dir="c:/Users/usuario/Desktop/")
library(outliers)
filename<-"timediff.csv"
time<-read.csv(filename, sep=";",header=TRUE,dec=".")
2009 Aug 19
2
mild and extreme outliers in boxplot
dear all,
could somebody tell me how I can plot mild outliers as a circle(?) and
extreme outliers as an asterisk(*) in a box-whisker plot?
Thanks very much in advance
--
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2011 Feb 09
5
Removing Outliers Function
I am working on a function that will remove outliers for regression analysis.
I am stating that a data point is an outlier if its studentized residual is
above or below 3 and -3, respectively. The code below is what i have thus
far for the function
x = c(1:20)
y = c(1,3,4,2,5,6,18,8,10,8,11,13,14,14,15,85,17,19,19,20)
data1 = data.frame(x,y)
rm.outliers =
2011 May 04
1
Outlier removal by Principal Component Analysis : error message
Hi,
I am currently analysis Raman spectroscopic data with the hyperSpec package.
I consulted the documentation on this package and I found an example
work-flow dedicated to Raman spectroscopy (see the address :
http://hyperspec.r-forge.r-project.org/chondro.pdf)
I am currently trying to remove outliers thanks to PCA just as they did in
the documentation, but I get a message error I can't
2012 May 15
2
how to find outliers from the list of values
Hi,
I am new to R and I would like to get your help in finding
'outliers'.
I have mvoutlier package installed in my system and added the package .
But I not able find a function from 'mvoutlier' package which will identify
'outliers'.
This is the sample list of data I have got which has one out-lier.
11489 11008 11873 80000000 9558 8645 8024 8371 It will