If argument ordered is TRUE the factor levels are assumed to be ordered. Such data is called categorical data.
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Following is an example of factor in R.
As.factor in r example. The function factor is used to encode a vector as a factor the terms category and enumerated type are also used for factors. First we have to create an example factor vector in R. The fa function needs correlation matrix as r and number of factors.
We can check if a variable is a factor or not using class function. See Section for details. Because of this readtable will automatically convert character variables to factors unless the asis argument is specified.
The following data will be used as basement for this R tutorial. Lets see an example of. For example suppose a survey was conducted of a group of seven individuals who were asked to identify their hair color and gender.
My_fac. Factor analysis of the data. R factors only allow values that are among a predefined set of possible values known as levels.
You can reorder the factor based for example on the mean wage of the individuals using the reorder function as follows. The illustration is simple employing a 175 case data set of scores on subsections of the WISC. Sample function in R generates a sample of the specified size from the data set or elements either with or without replacement.
To store such categorical data R has a special data structure called factors. The idea is to fit a bifactor model where the two latent factors are the verbal and performance constructs. Setseed1 df.
Sample of a numeric and character vector using sample function in R. The result might appear as follows. This short monograph outlines three approaches to implementing Confirmatory Factor Analysis with R by using three separate packages.
My_fac. X 1 single married married single Levels. In datasets there are often fields that take only a few predefined values.
The default value is 1 which is undesired so we will specify the factors to be 6 for this exercise. For example gender availability country marital status etc. EDECLSEQt excess total return on EDHEC long-short equity index exotic risk factor SP500 TRSP500TRt excess total return on SP 500 indexexcess total return on SP 500 index traditional equity risk factor US10YRt excess total return on US 10 year T-Note.
Factors_data. Mons c MarchAprilJanuaryNovemberJanuary. Factors are data structures in R that store categorical data.
Married single Here we can see that factor x has four elements and two levels. Rit return in excess of T-Bill rate on hedge fund i in month t. As an example of an ordered factor consider data consisting of the names of months.
Sample function is used to get the sample of a numeric and character vector and also dataframe. Here the hair color and gender are the examples of categorical data.
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