All Questions
62
questions
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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 ...
1
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0
answers
14
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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 $b>a$, ...
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 ...
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'...
2
votes
1
answer
175
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0
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0
answers
76
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R: boundary (singular) fit: see help('isSingular') with lrem model - only when transforming data to log
I am trying to run a lmer model on my dataset.
My dataset :
str(tabfi)
...
0
votes
1
answer
242
views
In R Limma's `normalizeMedianValues` function, why is its operations preceded with a log transformation followed by an exponential transformation?
In the function normalizeMedianValues in the package limma, column counts are normalised such that their column medians are ...
1
vote
1
answer
36
views
Rationale about the difference between logarithms quocient and ratio? Fold-change?
Following this post I was wondering how to plot or even communicate gene expression using relative quantification, meaning through transformation of cycle threshold values. In my particular experiment,...
0
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0
answers
139
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In R : translate GLMM models into mathematical notation (using Gamma family and log)
I have those two following generalized linear mixed models. The object Sbiomass is modeled as the sum of biomass in several replicas. The objects x1 and x3 are discrete variables, x1 is a continuous ...
1
vote
1
answer
61
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dataset in log & lin-lin regression function vs. dataset not in log & log-log regression function: Why different results in R?
I've discovered by chance that R produces different results when using a dataset which has been first transformed by the natural logarithm and then loaded into R for analysis and when the dataset is ...
0
votes
1
answer
125
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Can I compare model output from GARCH and EGARCH when the EGARCH is log conditional variance?
I have used the rugarch package in R to construct a sGARCH and an eGARCH model, but have ...
0
votes
0
answers
195
views
How to handle a highly right skewed dataset without 'hurting' it too much?
I have a freemium mobile app usage dataset. I want to perform a regression with the average spending per month (continuous) as a dependent, and if they came via referral program (binary) as the ...
0
votes
1
answer
711
views
X intercept of a log-log linear model in R using lm ()
A linear regression on dependent and predictor variable was run on simulated data after log transformation.
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0
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2
answers
44
views
Is a linear regression possible here?
I would like to do a linear regression between my response "weed coverage [%]" and my predictor "soil moisture content[%]". Since the response was not normally distributed and had ...
2
votes
1
answer
474
views
Equal intervals on log scale
I want to make a plot in which the horizontal axis is log scaled, ranging from 1 to 1000. I want to divide the horizontal axis into $n$ equal intervals, where "equal" means that it appears ...