# Questions tagged [partial]

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

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### Can I partial out covariates with true coefficients known in Logit? [closed]

Suppose the model is $$\ln(\frac{P}{1-P}) = X\beta_0 + A + \epsilon_{ij}$$, and I know $\beta_0$ and thus $X\beta_0$. Think of A as a high-dimensional fixed effect term. Can I partial out the effect ...
1answer
31 views

### How to test for a partially mediated model?

I have a dataset with three variables: Outcome, Exposure, and Mediator. My hypothesis is that the variables are related as in the following DAG: In particular I want to test that "Mediator" ...
0answers
16 views

### How do I interpret a partial correlation?

I'm working on a project that has three variables: X, Y, and Z. I suspect, based on my literature review, that X and Y are correlated. However, there is a possibility Z is related to Y as well. I ...
0answers
6 views

### Short-run effects in a dynamic model with combined variables?

(The models I estimate are actually dynamic panel models. For simplicity of expositon, I abstract from including cross-sectional indexing). The original model that I wished to consider is: y_{t}= \...
0answers
216 views

### How to calculate percent partial deviance explained by each predictor variable in a GAM model?

I am trying to find a sensible way to calculate the deviance explained by each predictor variable in a GAM model and need some input on my calculations. Following Simon Wood's example on the thread ...
0answers
17 views

### How to interpret the partial autocorrelation function when non-zero values are preceded by zeros?

I am working with a large number (>500) of partial autocorrelation functions, each for a different time series. I want to be able to quickly identify the likely order of an autoregressive model ...
1answer
22 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. ...
0answers
54 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 ...
0answers
8 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. ...
0answers
21 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 $\frac{\partial Pr(X\leq a, Y\leq b)}{\partial a}=Pr(X=a,Y\leq b)$?
1answer
203 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....
1answer
91 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 ...
2answers
48 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 ...
0answers
1k 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. ...
1answer
2k 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 ...
0answers
1k 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, ...
0answers
222 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 ...
3answers
573 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 ...
0answers
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 ...
1answer
316 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 ...
2answers
7k 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: ...
0answers
189 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 ...
0answers
223 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 ...
0answers
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 ...
0answers
290 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 ...
1answer
4k 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, ...
1answer
680 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?
0answers
207 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 ...
1answer
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 ...
3answers
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,...
1answer
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,...
2answers
786 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 ...
1answer
723 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) ...
1answer
112 views

### Partial sorting: select at most N elements including for sure the top T elements

To whom it may concern. My "population" with known size P is a landscape and has not more than 4 peaks with about same high. Naturally top elements group locally within the population. I seek the top ...
1answer
502 views