Questions tagged [linear-discriminant]
103 questions
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Is there a way to extract the coefficient of linear discriminant into a data frame?
Using the iris dataset as an example, I understand to perform LDA, you can use this:
library(MASS)
iris[1:4] <- scale(iris[1:4])
sample <- sample(c(TRUE, FALSE), nrow(iris), replace=TRUE, prob=c(0.7,0.3))
train <- iris[sample, ]
test <-…
evanbourne220
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Python - sklearn LDA got unexpected keyword argument 'covariance_estimator'
I ran this code
import numpy as np
import matplotlib.pyplot as plt
from sklearn.datasets import make_blobs
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.covariance import OAS
n_train = 20 # samples for…
bensw
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SPSS Syntax to R for discriminant analysis
I have been working in SPSS and need to know how to run a discriminant analysis in R. I imagine my syntax which look like this in SPSS
> GET DATA /TYPE=XLSX
>/FILE='C:\Users\Downloads\Initial Diabetics Data 10000.xlsx'
>/SHEET=name 'Initial…
rawdata
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Discriminant Function Analysis in R
I'm trying to match a stepwise DFA output from SPSS (which gives a % classification) in R, which I believe uses glm or lda, but it seems so convoluted.
Basically, I want to predict who failed an exam (dataframe=examscores, passedfail is the…
user15950867
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Finding the means of the three classes the data have been assigned to in LDA
I am looking at example code for how to calculate Fisher’s LDA, which is based on Q = W^{-1}B.
The data is imported as follows:
aircraft = read_csv(file = "aircraft.csv") %>%
mutate( Period = factor( Period ))
I have the following example for…
The Pointer
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Coefficients of the LDA using Matlab fitcdiscr
I'm using Matlab command fitcdiscr to implement an LDA with 379 features and 8 classes. I would like to get a global weight for each feature, to investigate their influence in the prediction. How can I obtain it from the pairwise (for each pair of…
Giulia
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How to plot linear discriminant function in coordinate axes?
I have a discriminant function for y but I need to plot it in the coordinate axes (x1, x3) along with the data. How do I do that on R?
> fdmin13.lda
Call:
lda(min13[, 5] ~ min13[, 1] + min13[, 3], data = min13)
Prior probabilities of groups:
…
hello
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results from PCA and LDA using scikit-learn
I am really confused about this result.. the same dataset for 2 classes and the result from PCA and LDA.. is it reasonable or something may be wrong?
Thanks for any answering!
enter image description here
X = data.drop(['label'], axis=1)
y =…
M. C
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Discriminant Analysis of Principal Components for Candidate SNPs
I just ran a redundancy analysis on my SNP dataset, and I have candidate SNPs from it. I would like to run a DAPC on this data, but the tutorial has left me a little confused. This is because I believe I already have my data in the clusters and I…
Daniel.Payter
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Is it possible to write a function in R to perform a discriminant analysis with a cumulative, variable number of factors?
I am attempting to perform a least discriminant analysis on geometric morphometric data. Because geometric morphometric data typically produces large numbers of variables and discriminant analyses require more data points than variables to…
user2352714
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LDA covariance matrix not match calculated covariance matrix
I'm looking to better understand the covariance_ attribute returned by scikit-learn's LDA object.
I'm sure I'm missing something, but I expect it to be the covariance matrix associated with the input data. However, when I compare .covariance_…
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How to calculate the weighted mean (when weighting factor is not given) for some groups of respondents using a statistical method?
We have 4 cohorts (15, 10, 5, 20 people) and out of these we got responses from few of them in each cohorts (10, 6, 5,16
) to measure the weight (gained or lost) in a week (in kg) when having a medicine.
We have to calculate a weighting factor for…
Jiten
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keeps getting error while running lda function
I am new to machine learning. I am having trouble in lda function in r.
Below is my code
library(MASS)
folds <- createFolds(ForwardPlayers$Rating, k = 10)
cv_lda <- lapply(folds, function(x) { # start of function
# in the next two lines we will…
Anamika Chavan
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Scale LDA decision boundary
I have a rather unconventional problem and having a hard time finding a solution to this. Would really appreciate your help.
I have 4 genes(features) and my classification here is binary(0 and 1). After a lot of back and forth, I have finalized on…
Sia
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How can I use the LDA for classification of dog and cat datas?
im pretty new in the world of R. I have a little projekt by programming with R. We have 2 Datasets, a dataset with dog datas and one with cat datas (to be clear, 80 Dog row datas and 80 cat row datas). Each of these row is a 64x64 Pixel IMG just…
Muuustii
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