What is a non integer value?

What is a non integer value?

It is any number that is not included in the integer set, which is expressed as { … -4, -3, -2, -1, 0, 1, 2, 3, 4… }. Some of the examples of non-integers include decimals, fractions, and imaginary numbers. Another example is the number 3.14, which is the value for pi, is a non-integer.

What is a factor variable in Stata?

Factor variables are a way to quickly enter dummy variables or interactions in a regression model in stata without creating new variables first. They have an added benefit in that post- estimation commands better “understand” the components of your model.

Would 1.5 be considered an integer?

Answer. An integer, also called a “round number” or “whole number,” is any positive or negative number that does not include decimal parts or fractions. For example, 3, -10, and 1,025 are all integers, but 2.76 (decimal), 1.5 (decimal), and 3 ½ (fraction) are not.

What is the range in Stata?

range generates a numerical range, which is useful for evaluating and graphing functions. range constructs the variable varname, taking on values #first to #last, inclusive, over #obs. If #obs is not specified, the number of observations in the current dataset is used.

Can you do a factor analysis with categorical variables?

If you have categorical data scoring 1-0 can be made both EFA and CFA with the tetrachoric correlation matrix. If you are talking about the 5 point likert scale, you can do EFA and CFA with the Pearson correlation matrix. Instead of the Pearson correlation matrix, a polychoric or phi correlation matrix may be used.

Is 0.5 an integer yes or no?

An integer (pronounced IN-tuh-jer) is a whole number (not a fractional number) that can be positive, negative, or zero. Examples of integers are: -5, 1, 5, 8, 97, and 3,043. Examples of numbers that are not integers are: -1.43, 1 3/4, 3.14, .

Can you use nominal data in factor analysis?

A factor analysis model for nominal data is appropriate because the alternatives are unordered, but may reflect different degrees of the unobserved construct of interest, for instance, assertiveness.

Can ordinal data be used for factor analysis?

An often posed question by applied researchers is about the most favorable approach for factor analysis in the presence of ordinal variables. First, ordinal variables could be treated as in the case of continuous variables, and the same estimation method would be used.

Is it safe to use C and I in Stata?

As it is, Stata is basically using different defaults for interaction terms (assume vars are categorical unless specified otherwise) and non-interactions (assume continuous unless specified otherwise). If you want to be super-safe you can always use c. and i., even when you are replicating the default behavior.

Can a factor variable contain noninteger values?

I am just running a simple command anova y id but get an error message: id: factor variables may not contain noninteger values. However, the id variable is all integers. The only reason I can think of may be the scientific values such as 3.000e+09. So I change the format using format id %012.0f so they all look like integers now:

What is the range of categorical variables for factor-variable operators?

Categorical variables to which factor-variable operators are applied must contain nonnegative integers with values in the range 0 to 32,740, inclusive. Thanks for contributing an answer to Stack Overflow!

Is return on investment a covariate or independent variable?

returnoninvestment is not a covariate in your model (hence the error message). returnoninvestment is the dependent variable/predicted variable. To obtain margins, you need to use the independent variables in the model, like par_yr, maactive or totalma.