I was told to this histogram is not normally distributed. Please explain why it is not normally distributed?
Hello, all.
I have data (histogram here) representing occurrences of a species recorded during point counts. Independent variables are (mostly) continuous (air temperature, wind speed, time of day, etc.). The data are noisy, but even a glance at a scatterplot suggests relationships between IV and DV, which I need to properly describe.
I've had 3 different suggestions from 3 different PhDs:
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Use non-parametric tests. Lower power but few assumptions.
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Transform the data so they have a normal distribution, and use parametric tests.
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Sample size is large enough that Central Limit Theorem applies. Use parametric tests.
I know some authors don't recommend transforming counts but I see potential problems with all 3 approaches.
My question is, what is the best way to look for/at these? Data are too disperse for Poisson. Would this be considered zero-inflated negative binomial, even if all the zeroes are real zeroes?
Thank you in advance.
Edit Just to add to the difficulty level, I'm at home with a quarantined toddler this week so learning R is probably out. I do have SPSS 28.0 on a borrowed laptop and am fairly comfortable with it.
I’m so glad someone made a Reddit page for setups. I personally love learning about setups and it’s relation to the car.
My question today is about suspension histograms. Who uses them? Do you have any guidelines for a percentage you like to see in the center of your curve? I’ve heard 12% but I’m not sure why.
The following histograms show the historical drawdowns for the following time periods:
- From 1986 - 2019 (based on the bogleheads simulation files)
- From inception in 2009 to today
- From january 1st 2019 to today
- From july 1st 2020 to today
The bin size is 1%.
The y-axis displays the number of days where the drawdown was in the specific bin. Note: including weekends and bank holidays (sorry)
Days where the portfolio was at an ATH are excluded.
| Quantile | 10% | 25% | 50% | 75% | 90% |
|---|---|---|---|---|---|
| Drawdown | -38.0% | -23.4% | -10.5% | -4.1% | -1.4% |
| Quantile | 10% | 25% | 50% | 75% | 90% |
|---|---|---|---|---|---|
| Drawdown | -14.8% | -9.5% | -4.3% | -1.6% | -0.6% |
| Quantile | 10% | 25% | 50% | 75% | 90% |
|---|---|---|---|---|---|
| Drawdown | -12.1% | -7.5% | -3.3% | -1.3% | -0.5% |
| Quantile | 10% | 25% | 50% | 75% | 90% |
|---|---|---|---|---|---|
| Drawdown | -12.3% | -8.2% | -3.8% | -1.5% | -0.6% |
Intention of this post was to give you a better feeling for the drawdowns you have to cope with when running this portfolio.
I'm wondering how to interpret this series of histograms? They are different treatment groups showing the distributions of the distance of a protein from the cell membrane (0=at the membrane, negative numbers are farther inside the cell).
https://preview.redd.it/qcinqrr036881.jpg?width=618&format=pjpg&auto=webp&s=c4148bb4f0eadfb3d7580747cb9ee1357b01a534
I don't understand the difference between the density and the count. There are some bars that appear the same height (density?) but their count is much higher - What does this mean? I know overall this is measuring how many times a certain value occurs, I just don't understand the difference between the heat map and the height of the bars.
TIA
I just read that the vertical lines on the in-camera histogram each represent one stop of light. In other words, for any given composition, if your histogram reveals that your shot is over- (or under-) exposed by one column, you can reduce (or increase) the exposure by one stop to correct it.
This can't be right, can it? For one thing, the four columns would suggest that every camera has 4 stops of dynamic range, which isn't right.
I guess my assumption had always been that each fourth of the histogram represented one fourth of the camera's dynamic range, but I have never given it quite that much thought.
I am an archaeology college professor + am teaching a class on digital archaeology methods. One lesson is about Python coding. This is an intro class and they are all using their own machines so I want to use replit to avoid installation issues.
I've never used replit before. This code works using Python on my computer but it won't run in replit. This is what happens: I click run, it starts installing the various packages, and then stops. The status screen goes black and then it's just showing a cursor. I can't rerun the code without opening a new browser. This code is supposed to produce two histogram images; they're not showing up on the screen, nor are they appearing as files in the repository.
Here's the code and the two excel files in Github:
See pic below. I went to the scan wizard to try and figure out how to only scan for when the MACD histogram is showing a light green bar? I wasn't sure which settings to choose to make it happen. Could some one show me the code please? Thanks in advance.
https://preview.redd.it/nrfc0ov5zx981.png?width=1372&format=png&auto=webp&s=0198746a85cc206b06c629967e24a3759b65eb15
first, I have a column for "Gender" consisting of "male" and "female". next there is another column for blood glucose level. i wanted to split the data for both female and male and make a graph like that of the picture. next the requirement is that, I have to make a vertical line that passes through 0.7 of the x value (blood glucose level) to indicate that anyone who has blood glucose level more than 0.7 has diabetes.
finally the hardest part is that, I have to calculate the percentage of male and female getting diabetes (bgl >= 0.7)
is it possible to do such analysis using studio???
thank you very much !!!
Hi all!
Doing a passion project for work and Im stuck on an issue. I have a dataframe of webpage visit data with dates and I've broken it out into a histogram with 3 buckets (100 visits, 1000 visits, 10000 visits) in jupyter notebooks.
Im now trying to calculate the average velocity that each bucket is hit in the histogram - how fast does a page receive 100 view, 1000views etc.. but I am stuck.
I'd be willing to venmo or cashapp money for a solution. Preferably would like to get on a google meets meeting so I can give you the data and get you caught up to where Im at and see what Im doing wrong. Thanks in advance!
I have a csv file with 6 columns. I’m working with sentiment analysis (toxicity in comments). I’ve managed to categorise my data into 5 class labels (based on type of toxicity). I want to plot a histogram that shows frequencies of those 5 class labels. The value for each class label column is binary. I just want 5 bars for each of those columns for the histogram to show occurrences of 1s on each bar.
I have the class boundaries and the frequency. When I enter the table with the class boundaries and frequency it shows a histogram that doesn’t make sense. ( I have the raw data but I made the classes on my own).
Hello. I want to create a histogram with bin sizes of 0.1. However, I cannot find the option to use custom bins. Is this possible?
