# Linked Questions

1answer
3k views

### log transformation - negative values [duplicate]

I am trying to log transform time series data of Inflation. However, there is one negative value. I have added the constant 1 to all my values and the log transformed. ...
0answers
2k views

### Log transform with 'zero' values [duplicate]

I am doing some explorative work on two large datasets. One from 2001 and one from 2018. The dataset consists of measured soil-parameters and it contains lots of zero's. From the transformations ...
0answers
610 views

### Monotonically increasing transformation function [duplicate]

The dependent variable of my problem is highly concentrated around zero. Here is a stemplot ...
0answers
60 views

### Is it good practice to add 1 to 0 scores in log-normalization? [duplicate]

I am apply log-normalization to my non-normal data. However, when I apply log-normalization, the 0 values is converted into inf, which makes it impossible to apply ...
1answer
50 views

### Resolving skew and determining the back transformation function [duplicate]

I have a skew variable and I want to use box-cox transformation (log) but around 50 observation out of 200 are between 0 and 1. My initial thought was to add a constant to all observations before ...
0answers
42 views

### Justification of the log transformation of independent variables [duplicate]

I have used the following negtaive binomial model: ...
0answers
12 views

### is log1p the “correct” way of doing log scale transformation of charts? [duplicate]

when transforming data to log scale for charting purposes, is it more "correct" in some way to always transform using log(x+1) (henceforth referred to as ...
151answers
137k views

### Famous statistical quotations

What is your favorite statistical quote? This is community wiki, so please one quote per answer.
13answers
159k views

### How should I transform non-negative data including zeros?

If I have highly skewed positive data I often take logs. But what should I do with highly skewed non-negative data that include zeros? I have seen two transformations used: $\log(x+1)$ which has the ...
7answers
16k views

### Combining probabilities/information from different sources

Lets say I have three independent sources and each of them make predictions for the weather tomorrow. The first one says that the probability of rain tomorrow is 0, then the second one says that the ...
4answers
33k views

### Regression for an outcome (ratio or fraction) between 0 and 1

I am thinking of building a model predicting a ratio $a/b$, where $a \le b$ and $a > 0$ and $b > 0$. So, the ratio would be between $0$ and $1$. I could use linear regression, although it doesn'...
1answer
37k views

### Regression: Transforming Variables

When transforming variables, do you have to use all of the same transformation? For example, can I pick and choose differently transformed variables, as in: Let, $x_1,x_2,x_3$ be age, length of ...
3answers
4k views

### How to interpret this QQ plot?

I have ran a QQ plot on R on my data using par(mfrow=c(1,2)) par(pty="s") qqnorm(TEDS$LST1); qqline(TEDS$LST1) which gave me this: The histogram of the data ...
2answers
12k views

### Distribution for percentage data

I have a question about the correct distribution to use for creating a model with my data. I conducted a forest inventory with 50 plots, each plot measures 20m × 50m. For each plot, I estimated the ...
2answers
17k views

### How to log transform data with a large number of zeros

I have a dataset comprised of continuous values that have about 30-50% zeros and a large range (10^3 - 10^10). I believe these zeros are not a result of missing data and are the result of the ...

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