# Questions tagged [partial]

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

41 questions
Filter by
Sorted by
Tagged with
15 views

### difference partial dependence and feature weights

Assume we train a linear model to predict a numeric outcome. A feature's model weight would essentially quantify me how much the outcome variable increases for each increase in the predictor's value. ...
14 views

### Multicollinearity and Partial Dependence Questions

Assume I build a binary classification model to predict p(y=1) from {x1, x2, ... x10} For now, assume that model could be a GBM, RandomForest, or Logistic Regression. Also assume that all of the ...
6 views

### Partial and Semi-partial/Part correlation in matrix/vector form

For three variables, e.g. $X$, $Y$, and $Z$, it is easy for me to deduce the partial and semi-partial correlation coefficients (in general), however I cannot do the same for more than three variables. ...
19 views

### Partial derivative of bivariate cdf

Suppose the bivariate cdf $F(a,b)=Pr(X\leq a, Y\leq b)$ is differentiable in $(a,b)$. Is it true that $\frac{\partial Pr(X\leq a, Y\leq b)}{\partial a}=Pr(X=a,Y\leq b)$?
54 views

### is there a R function to do multiple comparison for all levels of a categorical variable by capscale (vegan) with a covariate? [closed]

First, I did DB-RDA for a community dataset with two factors and one covariate. The results showed the interaction effect was significant. Then, I need to do the pairwise comparison for all the levels....
14 views

### What would happen to a partial dependence plot if the assumption of independence was violated?

I understand the largest issue with PDPs is that it's assumed that the feature/s of the plot that are calculated are not correlated with other features. Let's use something like height and weight to ...
72 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 ...
45 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 ...
840 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. ...
1k 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 ...
896 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, ...
208 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 ...
568 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 ...
3k 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 ...
306 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 ...
6k 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: ...
169 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 ...
214 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 ...
265 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 ...
3k 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, ...
567 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?
167 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 ...
76 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 ...
2k 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,...
672 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 ...
627 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) ...