Nov 9, 2024 · A simple way to program a bimodal distrubiton is with two seperate normal distributions centered differently. This creates two peaks or what wiki calls modes. You can …

Oct 6, 2019 · I have a bimodal length-frequency distribution for the females of a species with a one-year life span. This pattern is not observed in the males. I suspect that the bimodality is …

Jul 22, 2021 · 6 I am trying to understand how the distribution on the right is platykurtic? I learned that platykurtic indicates lighter and thinner tails and from what it looks like, the bimodal …

Apr 21, 2012 · I have a data set which displays a bimodal distribution. This was determined by plotting a histogram of the frequency vs number. I now need to separate the two original …

Apr 23, 2022 · What summary statistics, mean, median, standard deviation, etc. should be used on a skewed, bimodal, dataset and why? These are almost U shaped in a histogram layout …

Mar 16, 2018 · The wikipedia page on bimodal distribution lists eight tests for multimodality against unimodality and supplies references for seven of them. I am not sure if any are in R. I …

Mar 11, 2024 · It is the conditional distribution of the dependent variable that is assumed to be normal distributed, and even when that assumption is not accurate then OLS might work well. …

I have an obviously bimodal distribution of values, which I seek to fit. The data can be fit well with either 2 normal functions (bimodal) or with 3 normal functions. Additionally, there is a plaus...

I have some bimodal data like the one generated down (R language), and I don't know how to transform it to have a normal distribution or homoscedasticity. I'm running a linear discriminant …

May 16, 2013 · I'm trying to estimate a bunch of bimodal distributions, i.e. two means and two standard deviations, based on a variable number of inputs. If no input is present, a constant …