Questions tagged [categorical-data]

Categorical (also called nominal) data can take on a limited number of possible values called categories. Categorical values "label", they do not "measure". Please use [ordinal-data] tag for discrete but ordered data types.

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Least Squares Etimates of Simple Linear Regression with Three Level Categorical Variable

For a simple linear regression model with a binary categorical variable: $$y_i = \beta_0 + \beta_1 x_i + \epsilon_i.$$ The least squares estimate are: $$\hat{\beta}_0 = y_0 \; \text{and} \; \hat{\beta}...
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Simple Linear Regression with Three Level Categorical Variable

Let the following regression equation: $$Y_i = \beta_0 + \beta_1 X_i + \epsilon_i,$$ where $X_i$ is a dummy variable. By setting $X_1$, $X_0$, $Y_1$ and $Y_0$ the variables $X$ and $Y$ when $1$ or $0$ ...
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Intercept of logit vs intercept of multinomial logit

If I simulate the success probability for a Bernoulli random variable $t_{binary}$ conditional on some regressor $x$: ...
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Interpretation of regression coefficients with multiple categorical predictors

This question has an UPDATE further below added after the answer below. There is a nice answer HERE regarding how to interpret regression coefficients when predictors each consist of two categories in ...
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Understanding differences between binomial and multinomial models

I'm attempting to model how 2 predictor variables affect the relative proportions of 3 different categorical groups. I started off by running a binomial model for the proportion of each individual ...
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Can I run a linear regression with a categorial independent variable (treatment) and adjust for gender at the same time?

I'm doing a retrospective study where I want to analyze whether a certain treatment (surgery A vs. surgery B) has an effect on the health status after the surgery measured with different parameters (...
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Analysing responses across different groups - R Studio

I have data from a survey with responses as categorical data (multi-choice answers). I'm trying to find a way to explore if the % who chose each multi-choice answer change across different types of ...
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Discrepancies with SMARTPLS and SPSS Items' Loadings [closed]

Problem: Why are my loadings good in SMARTPLS's report (Outer Loadings) but bad when conducting factor analysis in SPSS? Details: When I conduct Factor Analysis in SPSS and go through all the ...
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Determining Stastically significant difference in sizes of descrete groups

I have data from a experiement involving DNA, where a "random" string of DNA is created. This would look like [ [A,C,T,G],[A,C,T,G],[A,C,T,G]] where the string is any of the combinations of ...
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Is my interpretation correct? - Independence of binary predictors in multiple linear regression

I'm confused about the interaction of binary predictor values in multiple linear regression. Here's an example to illustrate my problem. Say that I want to investigate the relationship between life ...
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Hypothesis Testing for categorical Data?

I was reading a post where the author was conducting hypothesis testing on the incidence of COVID-19 by conducting a poll on their Instagram. She found that while the world prevalence for COVID-19 was ...
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How do I report the results of a multistate unordered categorical variable when there are no reference levels?

I have a dataset in which several of my variables of interest are a multistate categorical variable. These variables are not ordered: they refer to independent categories describing things like ...
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What type of statistical inferences are possible on aggregated tables?

I have a table with the following format CountH SubcountH1 SubcountH2 CountK... VarA SubA1 SubA2 SubA3 VarB SubB1 SubB2 . . . The table is filled with ...
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difficulty in interpreting significance of logistic regression with multiple categorical variables

I am trying to do a logistic regression in order to check for statistical significance among my multiple categorical variables. I have the following independent variables (IV): (1) Beta factor - ...
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Plots for one continous and the rest categorical variables

I have a dataset with the continuous variable Income as dependent, and the rest are the categorical variables Gender, ...
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Why it is not possible to estimate $\beta$ in binary response model with links other than logit? [duplicate]

This is related to an assertion made in Agresti's Categorical Data Analysis pg 169. "With case-control studies, it is not possible to estimate $\beta$ binary response models with links other than ...
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How do I hierarchically cluster column containing multiple categorical variables in r?

I'm trying to do some hierarchical clustering on some movie data and ran into a conceptual issue with a column containing the movie genres. The column will code genres as a string of integers ...
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22 views

growth curve modeling for nominal and ordinal dependent variables

Is it possible to conduct growth curve modeling for nominal and ordinal dependent variables instead of a continuous variable? The aim is to investigate the nature of the growth trajectories and to ...
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1answer
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Blinder-Oaxaca decomposition and Gardeazabal and Ugidos (2004) correction in the presence of more than one categorical variable

I am reading the vignette for the oaxaca R package. At paragraph 2.3 there is written that: The results of Blinder-Oaxaca decompositions have been found to be sensitive to the researcher’s choice of ...
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Diversity index and categorical variables,-

Is it possible to calculate a diversity index (Simpson's or eventually Shannon's index) from ordinal data? As in, we surveyed 50 transects and recorded several species' "abundance" in 4 ...
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Significant variables with insignificant levels and vice versa in logistic regression

I hope all of us get well during the pandemic. I have conducted an analysis using binary logistic regression to investigate the interaction between gender (male, female) and official language ...
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16 views

Ordered Categorical Variables

Say I have categorical data where each category falls along the same spectrum. Perhaps a bad example, but stars on Amazon, Lyft, etc. One approach might be using a regression model to predict star ...
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1answer
28 views

When can we bucket groups together based on groups success rate?

I have a data set with a nominal data feature that has 20 levels. I want to label those levels in a way that I can say "Level A is Good", "Level B is Medium"... The data set is ...
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1answer
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Difference between dummy and factor variable?

I've just learnt about dummy variables. Say this is my data: Location Nest XXX Yes XXX No ZZZ Yes YYY Yes YYY No And I want to do multicolinearity tests/logistic regression in RStudio, so I don'...
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Count data is numerical or categorical?

I am working on road network data (csv) and my data has 6 features. Two of these features are continues and three of them are categorical. One of the these features is number of lanes of street. This ...
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Hierarchical clustering detection with categorical variables in R with missing data

I am trying to find a hierarchical pattern in categorical data that I have. The data is sort of like this (as I am not allowed to use the actual data, I created a similar problem that follows my own ...
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How to decide n_componets in HashEncoding

I want to predict salary for each person depending on the job_roles, Technical skills. Column job_roles have 1500 unique roles. There is a column Technical skills (which have combination of skills) I ...
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variance of a categorical variable [duplicate]

I have a categorical variable with three levels Cu Cu000 Cu000 Cu035 Cu175 Cu000 Cu175 Cu035 . . . The exact distribution of the three values (Cu000, Cu035, Cu175)...
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Do we check for association between categorical variables before clustering mixed-type data?

I am clustering mixed-type data using hierarchical clustering and the Gower measure. My question is: Do we have to check for association (dependence) between categorical variables (e.g. using chi-...
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Aggregation followed by categorization or vice versa?

For unsupervised classification purposes using several variables, I need to categorize one continuous variable into two classes, particularly, using Z-scores. The issue is that the continuous data ...
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39 views

Multinomial Logistic Regression as Measure of Association

I have a dataset with say about 50 variables related to lifestyle risk factors, and I want to measure the association between these lifestyle predictors (e.g. smoking, alcohol consumption, physical ...
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13 views

Minimum sample size for comparing groups of nominal data with large number of possible values

I have two groups of samples that are distinguished by a Boolean value A, i.e. group 1 all has A=True and group 2 all has A=false. Each sample also has a nominal value B (i.e. each value is distinct ...
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Suitable test for data with multiple categorical dependent variables?

I have a dataset with multiple independent variables (time being one of them, so repeated measured) and multiple ordinal dependent variables that have 3 grades for each (like grade 2 for being ...
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Linear regression encoding for categorical variable

Suppose we have a variable with $k+1$ categories, which we can decompose it with $k$ binary variables: $$x_i = \begin{cases} 1, & \text{category i occurs} \\ 0, & \text{otherwise} \end{cases}$...
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Should I apply Kruskal Wallis test?

I am doing research about the purchasing behaviour of the population. Therefore, on my online survey, I have questions about the effect of the advertisement on social media on behaviour. So, the ...
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What is the most suitable kernel for categorical features?

I am trying to train a Gaussian process regression model based on some data with a large amount of categorical features. Each data point can be represented by a vector of strings. Right now I am using ...
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1answer
35 views

Helmert coding for mixed models in R

I am using R to analyse data from an experiment with six conditions. Condition has two dimensions: for cognitive load, I have two levels (load and ...
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Continuous variable coding problem

Good evening, I am working on a chapter of my dissertation, which is on industry trade flows during periods of economic sanctions. One of the variables I have coded, Intra-Industry Trade Share, ...
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1answer
142 views

GLMM when the dependent variable has three levels

I'm trying to fit mixed models in R for data where the dependent variable is categorical with three levels (choices of True, False, Unsure). My plan was to fit three separate binomial mixed models (...
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17 views

Analysing categorical response variables

I have a dataset that i'd like to analyse, but I've only ever analysed data that has response variables as a measurement of something, but my response variable here is categorical - specifically, ...
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27 views

How do I apply a regression model to my data with categorical variables and interactions?

I feel crazy stupid for not knowing this but how do I apply a multiple regression model to my data when I have categorical variables, interactions between continuous and categorical variables, and ...
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5 views

Actor Partner Interdependence Model (APIM) using Generalized Estimating Equations (GEE) in R

I am trying to analyse an APIM using GEE in R because all of my variables are binary. If using Lavaan::sem(), the code would look something like this: ...
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34 views

Choosing random and fixed effects for binomial GLMMs when the dependent variable has three levels

I'm new to statistics, so this might be a basic question. I'm trying to fit generalized linear mixed models for data where the dependent variable is categorical with three levels (True, False, Other). ...
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Query regarding Models in MANCOVA?

This is the query in the area of Mancova in SPSS. There are 8 dichotomous IVs and 7 DVs. IVs are shape components of the bottle like deep curve, slim, parallel etc. and DVs are like sophisticated, ...
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one-hot classify data depending on given classes

I'm trying to figure out if i can make a neural network that is able to match misspelled names together. So for example, Jon Smit and John Smith are probably the same person. I've already gotten the ...
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Factor Analysis in R with FAMD / PCA - Explained variance very low

I used a the FAMD algorithm of R on my own dataset. My dataset contains about 10 columns of numerical(float) data, 6 columns of one-hot-encoded data and 1 column with categorical data (zip codes) with ...
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1answer
31 views

Dealing with text column of thousands different values

I have this dataset with some numerical and some text columns and want to create an ML forecasting model. The thing is that one column called 'diagnosis' is text (each entry is one sentence long) and ...
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20 views

How do you make dummies for collinear categorical variables?

Suppose I have the following relationship $$y = A + B + \epsilon$$ where $A$ is a categorical variable with $2$ levels and $B$ is categorical with $3$ levels. However when $A = 1$, $B=1$, always. How ...

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