Categorical data can take on a limited (usually fixed) number of possible values called categories. Categorical values "label", they do not "measure". Nominal and dichotomous/binary scale types are categorical. Some people consider ordinal scale categorical too.

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How do I create clusters with a completely categorical data?

I am working on the project that requires data mining. I have been asked to use R. I have a dataset with all categorical variables and would like to form clusters on that. I am unable to figure out ...
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8 views

How To Determine Association Plot in R and p-value

I have created a contingency table and an association plot in R and I am not quite sure how to interpret it. Here is my contingency table: ...
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16 views

Similarities and dissimilarities between optimal scaling procedures in CATPCA and MCA

I have seen that multiple correspondence analysis (MCA) can also be seen as a generalization of principal component analysis when the variables to be analyzed are categorical instead of quantitative. ...
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9 views

Analysis to use with categorical predictors and continuous response variables

I am trying to figure out what the right statistical test to use is for data where the DV is continuous, and the IV's are categorical. There are a lot of different DV's that I want to run through a ...
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25 views

piloting a multinomial logistic regression model

I have 11 variables in my data set. farmers Group(1,2,3,4 this is my dependent variable) Independent variables Total holding ,Crop area , barn capacity.....and barn capacity extent match and YPH. ...
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24 views

How can I interpret a multiple regression with categorical and ordinal variable? [on hold]

Help me please ! How can I interpret a multiple regression with categorical variables (by using dummy variable)? The question is that I want to find statistical significance between features and ...
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15 views

Multi-group SEM with a categorical outcome (using lavaan)

I'd like to ask the SO community for some help in regard to the interpretation of a structural equation model with three groups, featuring a categorical outcome. I have found a lot of sources treating ...
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12 views

some suggestions for analyzing two-factor within subject design?

I'm doing a two-factor within-subject design experiment, and the two factors are all categorical variables. factor one has four categories, while factor two has two categories, and is counterbalanced. ...
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16 views

Regression equation formatting

I have a simple question for you, which has to do with style. Since I am a novice in writing research papers, I have the small issue of not knowing how to represent an equation in an acceptable way. ...
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17 views

Bootstrap test for determining 'core' categories

I have a large data set with a particularly huge number of categories, which are populated unevenly. That is, most of the categories are unobserved in a 3 million sample, and some categories are way ...
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1answer
17 views

Is there a value to show how fragmented is a group?

I would like to know if there is a way to calculate a number that can show how fragmented is a group? It should be something like "variance of categorical data"? For example I want to see how ...
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14 views

Nested analysis for categorical variables in SPSS

I have categorical data in the form of correct response (0/1 for each item respectively) and prevalence of a misconception (0/1 for each misconception on each item) from a pre and post assessment. ...
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2answers
71 views

Interplay of Categorical Data

I apologize if my phrasing is un-educated, I don't have much of a stats background. I'm struggling to find info answering my question because I lack the terminology to accurately describe it. Let's ...
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9 views

Correlation coefficient for Boolean data [duplicate]

I have a data set consisting of a number of variables: all are Boolean true/false type. Can I simply count the R correlation coefficient between two variables substituting 0 and 1 to get correlation ...
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15 views

Does it make sense to only drop a specific level of a categorical variable? [duplicate]

I don't have SAS and the dataset with me, so I made up this table (from my memory). Basically this is what I got: After deciding to leave the variable $age$ and $risk$ in my model, I created this ...
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33 views

Applied Analysis Question

I'm a newbie analyst and I'm facing a machine learning / regression problem which I cannot solve. The data I need to use in my analysis consists of information about press subscriptions of some ...
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2answers
44 views

Which test to use to see if tumor weight increases at different stages?

I have 60 cancer patients. I have checked their staging and the weight of their tumour in gram. One variable is cancer staging - Stage 1, Stage 2, Stage 3 and Stage 4 (in increasing order). Another ...
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23 views

When should I add a time-trend to a regression?

I've looked for this answer around the web with no luck so far. I'm mostly interested in how time trends apply to cross-section and panel data. Thanks
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63 views

Generate boxplots for a combination of categorical variables [migrated]

How would I do the following? In a single plot, I would like to create multiple box plots, each X variable being a combination of the categorical variables shown below. ...
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1answer
81 views

German credit data: neural network, svm, logistic regression : input variables

I'm using the following data set on some credit scoring models: https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data) My teacher told me that it's best to use the same data set for all ...
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2answers
169 views

Consequences of inappropriately using dummy variables?

I was just wondering if there were any consequences to applying dummy variables to independent variables which don't need it. For example, let's say I ran an OLS with income as my y variable and age ...
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1answer
40 views

Cross-validation with dummy variables?

Does it make sense to use cross-validation with factor variables that have 3+ levels? When using bestglm, I get an error saying that it doesn't work with categorical variables. In the documentation ...
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1answer
45 views

Categorical variable as response in poisson regression

I have data on damages on flowers from different treatments. The damage was originally count data (number of damages per flower) but the person collecting the data categorized the data in four levels ...
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18 views

Interpretation of categorical 2x2 ANOVA/Regression outcomes

I have found contradicting interpretation guidlines and wanted to clarify (using SPSS): I have a 2x2 design, so 2 categorical factors with 2 levels each and want to test for group differences on my ...
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1answer
24 views

Which test to use for paired, nonparametric, categorical data?

We asked a group of subjects to tell us their preferences for a given procedure, of which there were 4 choices. We then provided them with educational material and asked them again of their ...
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1answer
23 views

Variance of a variable constructed from parameter estimates and predicted values of a linear regression

My data set is an annual panel data set on individual income, the year of unemployment and a number of demographic variables. I run an OLS regression of the form $y_{it} = \sum _{j=1} ^n D_{j,it} ...
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1answer
31 views

Cooccurence of Two Categorical Variables

I am trying to calculate if there is a dependence between two categorical columns, or a significant cooccurence of two categorical variables. Let's say I have columns A and B, and and out of 200K ...
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16 views

normalizing a proportion of poll results given unequal gender response rates

I took a poll of patients who experienced at least one misdiagnosis. I'd like to analyze the data according to gender but 75% of the responses came from Females and 25% from Males. Example: The data ...
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18 views

Granger Causality test with dummy variables

I intend to assess Granger Causality between three endogenous variables, where one of these variables is a dummy variable, indicating specific events during the continuous time frame. I was ...
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16 views

Extraction of a decision boundary (LDA) after a systematic querying of the feature space and convolution with Sobel filter (examples in numpy)

I am doing some experiments with LDA (Linear Discriminant Analysis), in python. Now I am at the point in which I would like to display the separation planes in the 3-dimensional feature space. I ...
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17 views

comparing proportions for non-mutually exclusive data

I have an experiment where I am interested in comparing proportions. Basically, participants write 4 different essays to 4 different open ended questions. Each answer is rated on a categorical ...
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1answer
50 views

What exactly does a Type III test do?

I'm having trouble understanding what exactly Type III test statistic does. Here is what I got from my book: "Type III" tests test for the significance of each explanatory variable, under the ...
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1answer
22 views

Logistic Regression - Binning - Interpretting p values

My name is Abhi and I am trying to teach myself regression by solving some practice problems available on the internet. I am using RStudio as my development environment. Problem Statement Given the ...
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1answer
30 views

GLM with categorical predictor on R

I need to do a model with a generalized linear model. My data are these: habitat : 0 or 1, group : 1 or 0 , mortality : yes or no, and the numbers of individuals for each case (habitat, group and ...
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7 views

Several categories using k-nearest neighbour

Is it possible to have a training data set for the k nearest neighbour with several categories likes 700 and about 10 attributes?
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1answer
17 views

Varying Non-Linear Parameters Based on Groups in R

I'm trying to develop a non-linear model, but I'd like to have the values for the parameters vary by group. To give you an example, a section of my data (just random numbers here) looks like: ...
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28 views

Presenting results of a meta-analysis with multiple moderators?

I wish to present the results of my meta-analysis using the best practices possible. I do not find, however, examples in articles similar to what my output is. Here's a simplification of my model and ...
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16 views

How to evaluate 4 methods with 4 possible outcomes

I have a table that looks like something this: Outcome Method 3 2 1 0 1 x_11 2 x_21 .... 3 x_31 4 x_41 x_44 Each x_ij ...
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11 views

Mixing Categorical and Continuous variables where cardinality of categorical can surpass data points

Suppose we have a dataset of people that can be described with a mix of some continuous variables (eg height, age) some ordinal (eg social status) and some categorical (eg city, car brand, favourite ...
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1answer
77 views

Comparing large categorical data sets with low or zero counts

I'm dealing with a biological feature which can be classified into $2^{20}$ categories. I also have two pretty large data sets of 1 and 3 million entries. Actually, only around 30 thousand categories ...
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1answer
39 views

conducting multi-level regression on ordinal DVs with imputed data in R

Do you know of an approach/package that facilitates mixed model regression of ordinal dependent variables on multiply imputed datasets in R? Ideally, the function takes: a list of multiply imputed ...
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4 views

After ordering data, sorting the other variables ascending [migrated]

I'm still at a beginning level of R, so I'm having difficulty to make a certain plot called a "lasagna plot". for this I need to first order my data by a categorical value. but after this i have no ...
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13 views

Analysis of full factorial with categorical dependent variable and blocking?

I'm working on a research project for which there is some proprietary information that I can't provide here. However, I will do my best to lay out as much information as I can. In this project we ...
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Modification of categorical outcomes in small samples

I have a set of abnormal lab findings and a set of tenderness outcomes in a small sample of "cases" and "positive controls". We hypothesize there may be some lab findings which differentially affect ...
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2answers
84 views

Capturing Seasonality in Multiple Regression for daily data

I have a daily sales data for a product which is highly seasonal. I want to capture the seasonality in the regression model. How I can do it? I have read that if you have quarterly or monthly data, in ...
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2answers
32 views

Dealing with Categorical variables in Multiple Regression

I have a data having 2 continuous and 4 categorical variables. Each categorical variable has 3 levels. I want to know how to include the variables in the model. I am using SPSS Variables: Sales - ...
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31 views

Simplifying numerous dummy variables

I'm looking into a regression analysis to compare the time it takes to award public contracts across different countries but holding some other variables constant is proving challenging. The set of ...
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1answer
33 views

Correlations within Factor in a psychometric measurement instrument

I am working with results of a psychometric test. There are twelve factors and each have three subfactors. My problem is that one of the subfactors correlates very highly 0.3 to 0.7 with subfactors of ...
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1answer
12 views

Help with determining model for cross-sectional data where all variables are dummies

I am currently working on my dissertation project where my data are essentially all dummies. From my dependent to my independent variables, everything is a dummy variable (0,1), at least for the ...
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1answer
7 views

How to interpret factor coefficients regarding unobserved values?

I am presented with a linear regression result that yields the following coefficients: ...