Displaying 20 results from an estimated 4000 matches similar to: "Outliers in Binary Logistic Regressions"
2012 Sep 05
1
How to effectively remove Outliers from a binary logistic regression in R
Hallo there,
greetings from Germany.
I have a simple question for you.
I have run a binary logistic model, but there are lots of outliers distorting the real results.
I have tried to get rid of the outliers using the following commands:
remove = -c(56, 303, 365, 391, 512, 746, 859, 940, 1037, 1042, 1138, 1355)
MIGRATION.rebuild <- glm(MIGRATION, subset=remove)
2007 Jan 10
2
labels outliers in boxplot
Dear R-users,
Following is part of my data, where slide has 36
levels and block 48 levels. I have done boxplot for
each slide on the same graph. There are outliers for
each slide and I tried to use indentify functtion to
identify outliers in such a way that when I click on
an outlier or point, the points will be labelled by
either their block or ID or by both but without
success. How can I make
2012 Nov 27
1
Concordant und Discordant Paars of Logistic Regression
Hallo there,
can anymore show me how to get results about konkordant und diskordant paars (Sommer-D, Gudman-Krustal-Gama, Kendall-Tau-a) within a logistic regression) in R?
Thanks a lot.
MT
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2012 Nov 24
1
A Question About Plotting
Hallo there, I've got a simple question concerning a plot attempt of mine. I am trying to plot two variables using the following code: # Creating a Graph attach(Jitirana) plot(Sozialkapital, Migration) abline(lm(Migration~Sozialkapital)) title("Regression of Sozialkapital on Migration") Simple thing, but the problem lies in the fact that I keep receiving a square plot depicting y on
2012 Sep 15
4
how to view only readings of a selected data from a column while the other columns remain
Hi Friends
I am new here and have a problem
Year Market Winner BID
1 1990 ABC Apple 0.1260
2 1990 ABC Apple 0.1395
3 1990 EFG Pear 0.1350
4 1991 EFG Apple 0.1113
5 1991 EFG Orange 0.1094
For each year and separately for the two
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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2008 May 04
4
improvement of Ancova analysis
Dear Helpers,
I just started working with R and I'm a bit overloaded with information.
My data is from marsupials reindroduced in a area. I have weight(wt),
hind foot
lenghts(pes) as continues variables and origin and gender as categorial.
condition is just the residuals i took from the model.
> names(dat1)
[1] "wt" "pes" "origin" "gender"
2011 Dec 30
3
good method of removing outliers?
Happy holidays all!
I know it's very subjective to determine whether some data is outlier or
not...
But are there reasonally good and realistic methods of identifying outliers
in R?
Thanks a lot!
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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 =
2005 Oct 06
0
a question about LMS and what constitutes outliers
Hi,
I have been using the lqs function with method='lms'. However the
results I get are a little different from the results noted by Rousseeuw
& Leroy (Robust Regression and Outlier Detection) and I was wondering
how to use these results for outlier detection.
I'm using the stackloss dataset, for which the original Rousseeuw et al.
program points out that observations 1,2,3,4
2013 Apr 12
2
Stat question: How to deal w/ negative outliers?
Hello all,
I have a question: I am using the interquantile method to spot outliers &
it gives me values of say 234 & -120 or for the higher & lower benchmarks.
I don't have any issues w/ the higher end. However I don't have any
negative values. My lowest possible value is 0. Should I consider 0 as an
outlier?
Thanks ahead for your thoughts
--
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2009 Jun 16
1
How to replace outliers by group median?
Dear R-helpers,
Very small amount of outliers can greatly affect the mean and many other
statistic of a numeric variable. So, usually we must deal with the outliers
properly in the process of data analysis. Here, I want to replace outliers
with the group median of the variable. But, I can not construct a good way
to do that efficiently, because of I am a newbie to R and programming.
Can anybody
2005 Aug 08
2
selecting outliers
Hi everybody,
I'd like to know if there's an easy way for extracting
outliers record from a dataset, in order to perform
further analysis on them.
Thanks
Alessandro
2013 May 17
0
Using grubbs test for residuals to find outliers
Hi,
I am a new user of R.
This is a conceptual doubt regarding screeing out outliers from the dataset
in regression.
I read up that Cook's distance can be used and if we want to remove
influential observations, we can use the metric (>4/n) (n=no of
observations) to remove any outliers.
I also came across Grubb's test to identify outliers in univariate distns.
(assumed normal) but i
2011 Nov 22
1
Capping outliers
Hi Experts,
I am new to R, using following sample code for capping outliers using
percentile information. Working on large data (30000 observations and 150
variables), loop I am using in the below mentioned code for detecting
outliers and capping to upper /lower percentile value is taking much time
for the execution.
Is there anything wrong with code, can anyone suggest improvement in the
script
2010 Jan 26
0
Trouble Highlighting outliers on Time Series Plot
I am having trouble plotting outliers on time series.
Give then following code:
############################################################
# find STL Outliers by weight and append sh2, use Robust
# this should allow the initial outliers to be filtered
# this section may be commented out.
############################################################
tsSourceDiag <-
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 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
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,
2008 Sep 02
3
boxplot - label outliers
Hi All-
I have 24 boxplots on one graph. I do not have the whiskers extending
to the outliers, but I would like to label the maximum value of each
outlier above the whiskers. I have the stats but am having trouble
figuring out how to label the whiskers.
Any suggestions would be great!
sherri