Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
3
votes
0
answers
4k
views
Why inverse of 'predict' function in R can not be used for dependent variable prediction in ...
When a regression is calculated with a simple linear model that returns intercept and slope for an equation like this $y=a + bx$ one can predict $y$, the response variable, based on that equation.
Equ …
2
votes
Sample time series to equal interval
Untested code using zoo in R might look something along these lines:
# create new time index
time.index <- seq(min(index(data)),max(index(data)), by=as.difftime(2,units='mins'))
# combine index with …
1
vote
Number of grouping affect log2 fold change in DESeq2 analysis
It is perfectly possible that the genes are statistically differentially expressed but have low fold changes. The reason is that you are ultimately testing whether the means of different groups are di …
0
votes
0
answers
47
views
Does a linear model make assumptions about distributions of depended and independent variables? [duplicate]
As the title says, does a linear regression model make assumptions about distributions of depended and independent variables and what should these distributions be for the model to work as expected ? …