On 12.10.2023 16:25, Fernando Archuby wrote:
Hi.
I have successfully performed the discriminant analysis with the lda
function, I can classify new individuals with the predict function, but I
cannot figure out how the lda results translate into the classification
decision. That is, I don't rea
It's possible that neither of these will help, but
(1) you can look at the source code of the predict method
(MASS:::predict.lda)
(2) you can look at the source reference ("Modern Applied Statistics in
S", Venables and Ripley) to see if it gives more information (although
it might not); th
Hi.
I have successfully performed the discriminant analysis with the lda
function, I can classify new individuals with the predict function, but I
cannot figure out how the lda results translate into the classification
decision. That is, I don't realize how the classification equation for new
indiv
..@statistik.tu-dortmund.de]
Sent: Tuesday, May 17, 2011 04:25 AM
To: Songer, Katherine B - DNR
Cc: r-help@r-project.org
Subject: Re: [R] Linear Discriminant Analysis error: "Variables appear constant"
On 16.05.2011 22:07, Songer, Katherine B - DNR wrote:
Hi R experts,
I'm attempt
mailto:lig...@statistik.tu-dortmund.de]
Sent: Tuesday, May 17, 2011 04:25 AM
To: Songer, Katherine B - DNR
Cc: r-help@r-project.org
Subject: Re: [R] Linear Discriminant Analysis error: "Variables appear constant"
On 16.05.2011 22:07, Songer, Katherine B - DNR wrote:
> Hi R experts
On 16.05.2011 22:07, Songer, Katherine B - DNR wrote:
Hi R experts,
I'm attempting to run Linear Discriminant Analysis using the lda function in
the MASS package. I've got around 50 predictor variables and one response
variable. My response variable has 5 numeric categories that represent
d
Hi R experts,
I'm attempting to run Linear Discriminant Analysis using the lda function in
the MASS package. I've got around 50 predictor variables and one response
variable. My response variable has 5 numeric categories that represent
different clusters of fish abundance data (clusters were de
Joris,
Thank you, I have corrected my mistakes. I very much appreciate your time
and patience.
All my best,
Cobbler.
--
View this message in context:
http://r.789695.n4.nabble.com/Linear-Discriminant-Analysis-in-R-tp2231922p2240547.html
Sent from the R help mailing list archive at Nabble.com.
I checked your data. Now I have to get some sense out of your code. You do :
G <- vowel_features[15]
cvc_lda <- lda(G~ vowel_features[15], data=mask_features,
na.action="na.omit", CV=TRUE)
Firstly, as I suspected, you need to select a column by using
vowel_features[,15] . Mind the comma! Essentia
Hi Janis,
As you have suggested below is the output for the following:
test.vowel <- vowel_features[,1:10]
test.mask <- mask_features[,1:10]
dput(test.vowel)
dput(test.mask)
--- NOTE: outputs are limited
>>test_vowel first 12 columns are all zero (total of 26 columns)
V1 V2 V3
It's not your questions, Cobbler, but could you PLEASE just do what we asked
for?
Copy-paste the following in R and copy-paste ALL output you get in your next
mail.
test.vowel <- vowel_features[,1:10]
test.mask <- mask_features[,1:10]
dput(test.vowel)
dput(test.mask)
I don't know whether your vow
Thanks for being patient with me.
I guess my problem is with understand how grouping in this particular case
is used:
one of the sample codes I found online
(http://www.statmethods.net/advstats/discriminant.html)
library(MASS)
fit <- lda(G ~ x1 + x2 + x3, data=mydata, na.action="na.omit", CV=TRU
Behalf Of Joris Meys
> Sent: Friday, May 28, 2010 8:50 AM
> To: cobbler_squad
> Cc: r-help@r-project.org
> Subject: Re: [R] Linear Discriminant Analysis in R
>
> Could you provide us with data to test the code? use dput
> (and limit the
> size!)
>
> eg:
>
Could you provide us with data to test the code? use dput (and limit the
size!)
eg:
dput(vowel_features)
dput(mask_features)
Without this information, it's impossible to say what's going wrong. It
looks like you're doing something wrong in the selection. What should
vowel_features[15] return?
Joris,
You are a life saver. Based on two sample files above, I think lda should go
something like this:
vowel_features <- read.table(file = "mappings_for_vowels.txt")
mask_features <- data.frame(as.matrix(read.table(file =
"3dmaskdump_ICA_37_Combined.txt")))
G <- vowel_features[15]
cvc_lda <-
Why exactly do you need lda and not another method? For lda to be
applicable, you should check :
1) whether the regressors are normally distributed within the classes
2) whether the variance-covariance matrices are equal for all classes
Essentially, this means that the boundary between both classe
Dear R gurus,
Thank you all for continuous support and guidance -- learning without you
would not be efficient.
I have a question regarding LD analysis and how to best code it up in R.
I have a file of (V52 and 671 time points across all columns) and another
file of phonetic features (each vow
Hi,
I was wondering if you can show me how to plot the discriminant boundary lines
for an LD analysis in R. I am curious as to perform this on a larger scale, so
I was wondering if you can provide me an example on the infamous 'iris' data.
Here's what I have so far:
iris.lda=lda(Species ~., d
Dear R-gurus,
Here is what I need to do..
I have two .txt files that are in a matrix form (each looks something like
this:
0.0334820.02238 0.026677
0.0345530.0232260.028855
0.0350170.0232620.02941
0.0362620.023306
Dear all,
I am trying to recreate a discriminant analysis in R based on the article from
"Dong,J.-J.,etal.,Discriminant analysis of the geomorphic characteristics and
stability of landslide dams, Geomorphology (2009)".
I used lda (MASS) to determine the discriminant functions but I noticed that
t: Wednesday, February 25, 2009 4:45 AM
> To: r-help@r-project.org
> Subject: [R] Linear Discriminant Analysis
>
>
> Kindly let me know the process to carry out a Linear
> discriminant analysis...thanks in advance
>
> Arup
> --
> View this message in context:
Dear Arup,
See the lda function in the MASS package. In general,
> require(MASS)
Loading required package: MASS
> ?lda
HTH,
Jorge
On Wed, Feb 25, 2009 at 4:44 AM, Arup wrote:
>
> Kindly let me know the process to carry out a Linear discriminant
> analysis...thanks in advance
>
> Arup
> --
>
Kindly let me know the process to carry out a Linear discriminant
analysis...thanks in advance
Arup
--
View this message in context:
http://www.nabble.com/Linear-Discriminant-Analysis-tp22199424p22199424.html
Sent from the R help mailing list archive at Nabble.com.
Dear R help list,
I have a training dataset that looks like Table1.
I have an unknown dataset that looks like Table2.
I want to have a program that should search the training dataset and
identify that the unknown sample belongs to which category (type1, type2 or
type3)
and also if the unknown does
Dear R help list,
I have a training dataset that looks like Table1.
I have an unknown dataset that looks like Table2.
I want to have a program that should search the training dataset and
identify that the unknown sample belongs to which category (type1, type2 or
type3)
and also if the unknown does
25 matches
Mail list logo
