Skip to main content

Questions tagged [logarithm]

The logarithm of a number is the power to which the base must be raised to get the number.

1 vote
0 answers
18 views

Rescale measures of association for meta-analysis (e.g., log-transformed independent variables)

I am carrying out a meta-analysis of studies evaluating the association between blood levels of specific environmental pollutants and health outcomes (binary). Some studies reported OR/RR/HR for ...
msas's user avatar
  • 11
0 votes
0 answers
33 views

log transform left data in r

I am having trouble finding the transformation operation for left/negatively skewed data. The catch? All of my values are between 0 and 1. As such, trying the standard log10 transformation command ...
YouLocalRUser's user avatar
1 vote
0 answers
14 views

Rejection sampling method in tail of truncated exponential distribution (answered)

See edit below as question has been answered. I want to sample from an exponential distribution with parameter $\lambda>0$ truncated in the tail between $a>0$ and $b>0$, such that $b>a$, ...
CorrieElba's user avatar
3 votes
1 answer
186 views

Back Transforming log-log Model for Prediction

I have a model that is log-log and I would like to make raw predictions of $Y$ with it: $\ln(Y) = B_0 + B_1\ln(X)$ All answers and articles I have found concerning back transforming for prediction ...
Oberon Quinn's user avatar
2 votes
1 answer
79 views

How to do log subtract (just like logsumexp) with probabilities? [closed]

To subtract a small probability from another, this answer has constraint on log probabilities l1 > l2: Subtracting very small probabilities - How to compute? but I need a function that works for ...
monotonic's user avatar
  • 201
0 votes
0 answers
21 views

Interpreting log transformed variables in a regression [duplicate]

I am very confused about the interpretation of log transformed variables in a regression. For example, I have a log-level model with a B0=4.95 and B1=-1.07. So my model would be log(y)=4.95 - 1.07X. ...
mblume's user avatar
  • 101
3 votes
2 answers
322 views

Is the exponent of the MAD (Median Absolute Deviation) of log transformed Data measuring the relative distance from median in the untransformed data?

I want to confirm whether taking the Exponent of the MAD of Log Transformed Data gives me a measure of relative distance from median of the original untransformed data. So say I have a MAD of 0.2 for ...
Anon9001's user avatar
1 vote
1 answer
29 views

How to interpret a regression table with logged DVs?

I'm writing a research paper and am using R for my quantitative analysis. I'm using OLS regression and have needed to perform a log transformation on my dependent variables for linearity however I don'...
Bella's user avatar
  • 11
1 vote
1 answer
44 views

Can we find a variance formula in terms of the log of the density? ($f(t) = e^{u(t)}$, need variance in terms of $u$)

Given a density $f(t)$, say over $t\in \mathbb{R}^n$ absolutely continuous with Lebesgue measure. Write $u(t) = \log(f(t))$ taking values in $[-\infty, \infty)$ so $f = \exp(u)$. Can we find a general ...
travelingbones's user avatar
0 votes
1 answer
47 views

plotting log-transformed data, but running statistics on raw data?

I intend to compare differences between means of eight groups. The differences between some of the means are only visible when I plot (in a box plot) the log-transformed data. However, I am unsure as ...
Rikki Franklin Frederiksen's user avatar
1 vote
1 answer
86 views

Simple example of Log-Sum-Exp trick for continuous case

I am trying to confirm my understanding of how to apply the [Log-Sum-Exp trick to recover a posterior distribution from a log-posterior distribution. I want to consider a simple example from a model I ...
John Doe's user avatar
  • 195
0 votes
0 answers
27 views

Recovering normalized posterior distribution from log-posterior

For a Bayesian estimation problem that I am working on, where I update the log-posterior (many times based on data) instead of the posterior itself using Bayes rule. I find the following (rather ...
John Doe's user avatar
  • 195
1 vote
1 answer
35 views

Can log2 be substituted with ln in logDice association measure?

I am currently doing collocational analysis in the Russian National Corpus, to be precise the Russian national news subcorpus, to see what is the most significant collocates of the lemma "gay&...
pindakazen's user avatar
0 votes
0 answers
15 views

Is there a statistical reason why I have diagonal lines in log2FC correlation plots?

I have created a de novo RNA-seq assembly using Trinity with samples from 4 treatment groups and then ran a DEG analysis on each pairwise combination of the 4 groups. Then, I looked at how DEGs that ...
JanayF's user avatar
  • 1
2 votes
1 answer
175 views

How to determine the best fitted model by AIC between lm(y~x),lm(log(y)~x), drc(y~x) in R

...
user408308's user avatar

15 30 50 per page
1
2 3 4 5
46