# Questions tagged [partial]

The partial effect of individual explanatory/predictor variables from a fitted model on a dependent variable.

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19 views

### Calculating partial dependence function of many variables

In this answer How o calculate partial dependence when I have 4 predictors? there is a great example on how to calculate the partial dependence function for $X_s$ when $X_s$ accounts only for one ...
27 views

### The definition of the partial correlation

The partial correlation between say two variables $X$ and $Y$ with partialling out the effect of two other independent variables say $U$ and $V$ is equal to the correlation calculated on the residual ...
51 views

### Partial skewness (kurtosis)

On Wikipedia one can read: In probability theory and statistics, partial correlation measures the degree of association between two random variables, with the effect of a set of controlling random ...
44 views

### Which test you recommend?

Assume in a study the dependent variable is quantitative, while most independent variables are categorical, with some of them being quantitative. We aim to evaluate the relationship between the ...
261 views

### Standard partial regression plot vs. effect plot from 'effects' package

I'll use a modification of this example to ask my question about an apparent alternative way of presenting a partial regression plot, using the effects package. ...
325 views

### Partial dependence plot for glm in r — why linear?

I'd like to understand why my partial dependence plots for a logistic regression model simply show up as straight lines -- even when I'd expect basically a threshold effect from a covariate. I know ...
471 views

### Interpretation of partial eta-squared in factorial designs

I'm having troubles interpreting and comparing effect sizes in factorial designs based on partial eta squared values. E.g. in a 3x3-within-subjects design with: η²part, A = .2 η²part, B = .4 η²part, ...
106 views

### Counterfactual prediction with machine learning, sales data

I have a dataset from a supermarket with around 10 thousand products. The data has daily quantities and prices and discount information (whether the product had a discount and the size of the discount ...
178 views

### Quantifying uncertainty when fitting a statistical model to partial effects/dependencies from a random forest (or other machine learning model)

Question: I estimate the partial dependence of $y$ on one predictor in a fitted random forest (RF). I want to now fit a parametric model to this partial dependence. How can I estimate my uncertainty ...
551 views

### A null Chi-square test – what could be done next?

I have a rating (from 1 to 5) under two conditions (let’s call them "blue" and "red"). I tested whether the distribution of the ratings is significantly different using a chi squared test for goodness ...
2k views

### Generating and interpreting partial dependence plots [closed]

I am trying to mimic partial dependence plots as explained in R's pdp package (https://journal.r-project.org/archive/2017/RJ-2017-016/RJ-2017-016.pdf). The second ...
288 views

### Causality Analysis and test of Independence

First the problem: I am refering to lecture note, on page 480, 2nd paragraph, it mentions If X is in fact useless for predicting Y given Z, then an adaptive bandwidth selection procedure (like ...
4k views

### How to do partial regression plots with linear mixed-effect models?

I have a linear mixed-effect model in R with two continuous fixed-effects and one random effect, like this: ...
143 views

### Partial effects whithout ceteris paribus assumption

Is it possible to estimate the partial effect of the exogenous variables without holding other variables constant, in other words without ceteris paribus assumption? I know that in normal case we need ...
206 views

### Partial correlation or two separate correlations? How to interpret?

Hope someone can help me here: So there are variables A, B, C, and D and groups 1 and 2. Groups significantly differ in variables A and B, but not in C and D. From previous research, correlations are ...
23 views

### How to report total and complete results

I have conducted a social research with one thousand complete participations and more than 1200 total participations (incomplete contributions included). In reporting the results, what is the best ...
226 views

### partial scalar measurement invariance

I have performed a measurement invariance analysis in R using SemTools, to assess the five factor structure of a questionnaire across 3 age groups. The latent variables have 5 indicators (5 items). I ...
2k views

### Partial Dependence plot interpretation for Categorical variables

I am using partial dependence plot from random forest. The partial plot doesn't make sense to me. 10th completed people have only 62 out of 933 people as 1. But the partial plot shows positive bar, ...
469 views

### Partial/marginal effects after probit regression

Is it plausible to get positive coefficients after running a probit but negative partial/marginal effects? If so, what is the intuition?
126 views

### Get covariance from conditional covariance for lognormal (and other) observations?

Consider lognormal random variables $X_1$ and $X_2$ with correlation coefficient $ρ$ and a partial observation sample of them of length N, the sample being partial because it only contains occurrences ...
72 views

### How to get the regressed output?

I have a model Y = slope1*variable1 + slope2*variable2 + Intercept. I used lm in R to get slope1, slope2 and Intercept. In this case, variable1 is my main effect ...
1k views

### how to plot 3D partial dependence in GBM

I can use the following code to get one-dimensional partial dependence plot. what code can I plot two-variable partial dependence plot, that's the three dimensional figure. Thanks. plot.gbm(GBMmodel,...
2k views

### Difference between Partial Correlation and Semi-Partial Correlation

Partial Correlation is when there are three things connected each other(A,B,C), when comparing A and B, we should think about the effect of C so when we calculate the pure relationship between A and B,...
553 views

### Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm? [duplicate]

I have made two solvers to implement neural networks, one is based on stochastic gradient descent (SGD) while the other is based on the BFGS (Broyden-Fletcher-Goldfarb-Shanno) algorithm. I have read ...
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### Corroborating/Conflicting partial correlation and covariance matrix from mixed model

I have a project looking at reaction times of coordinated movements; there is a visual signal and the participant must look and point at a target. We measured the reaction time (ms) of the motor ...
506 views

### Marginal Effects of Discrete Variables in Quantile Regression

I find myself puzzled by a passage about marginal effects of discrete variables in quantile regression. On p. 217 of Cameron and Trivedi's MUS book, the authors write: For the $j$th (continuous) ...