sarahromanes / multida Goto Github PK
View Code? Open in Web Editor NEWHigh Dimensional Discriminant Analysis in R :sparkles:
Home Page: https://sarahromanes.github.io/multiDA/
High Dimensional Discriminant Analysis in R :sparkles:
Home Page: https://sarahromanes.github.io/multiDA/
Is it feasible for it to work if there are missing values in the data set?
SRBCT$X[3, 3] <- NA
res <- multiDA(SRBCT$X, SRBCT$y, penalty="EBIC", equal.var=TRUE, set.options="exhaustive")
Error in rbind(deparse.level, ...) :
numbers of columns of arguments do not match
sparsediscrim package's dlda
function behaves similarly.
Currently - no functionality is available with plot.multiDA
to change the style to how the user pleases. Task: to follow guide from here for best practices in incorporating ggplot2
in other packages.
I have a data set with 2038 samples belonging to six classes. Classifier training fails because mR
and add
don't have the same number of columns.
> mR <- rbind(mR,add)
Error in rbind(deparse.level, ...) :
numbers of columns of arguments do not match
Steps to reproduce are:
Single Cell Research/SCProj-ClassifyR/data/segerstolpe_forDario.RData
load("segerstolpe_forDario.RData")
library(multiDA)
multiDA(t(segerstolpe), factor(cellTypes))
Hi Author of multiDA! Just had a read of the package multiDA. Looks amazing and thought to implement it. By any chance, do you know which version of R does the package support? as it doesn't support version R 3.5.2. Many thanks in advance.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.