Convert Text in Table Variables to Categorical - MATLAB & Simulink (original) (raw)

This example shows how to convert variables in a table from text to categorical arrays. The same workflow applies for table variables that are string arrays and variables that are cell arrays of character vectors.

Load Sample Data and Create a Table

Load sample data gathered from 100 patients.

Store the patient data from Age, Height, Weight, SelfAssessedHealthStatus, and Location in a table. Use the unique identifiers in the variable LastName as row names. To convert variables that are cell arrays of character vectors to string arrays, use the convertvars function.

T = table(Age,Height,Weight,Smoker,... SelfAssessedHealthStatus,Location,... 'RowNames',LastName); T = convertvars(T,@iscellstr,"string")

T=100×6 table Age Height Weight Smoker SelfAssessedHealthStatus Location
___ ______ ______ ______ ________________________ ___________________________

Smith       38       71       176      true            "Excellent"           "County General Hospital"  
Johnson     43       69       163      false           "Fair"                "VA Hospital"              
Williams    38       64       131      false           "Good"                "St. Mary's Medical Center"
Jones       40       67       133      false           "Fair"                "VA Hospital"              
Brown       49       64       119      false           "Good"                "County General Hospital"  
Davis       46       68       142      false           "Good"                "St. Mary's Medical Center"
Miller      33       64       142      true            "Good"                "VA Hospital"              
Wilson      40       68       180      false           "Good"                "VA Hospital"              
Moore       28       68       183      false           "Excellent"           "St. Mary's Medical Center"
Taylor      31       66       132      false           "Excellent"           "County General Hospital"  
Anderson    45       68       128      false           "Excellent"           "County General Hospital"  
Thomas      42       66       137      false           "Poor"                "St. Mary's Medical Center"
Jackson     25       71       174      false           "Poor"                "VA Hospital"              
White       39       72       202      true            "Excellent"           "VA Hospital"              
Harris      36       65       129      false           "Good"                "St. Mary's Medical Center"
Martin      48       71       181      true            "Good"                "VA Hospital"              
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Convert Table Variables from Text to Categorical Arrays

The variables, Location and SelfAssessedHealthStatus, contain discrete sets of unique values. When a variable contains a set of values that can be thought of as categories, such as locations or statuses, consider converting it to a categorical variable.

Convert Location to a categorical array.

T.Location = categorical(T.Location);

The variable, SelfAssessedHealthStatus, contains four unique values: Excellent, Fair, Good, and Poor.

Convert SelfAssessedHealthStatus to an ordinal categorical array, such that the categories have the mathematical ordering Poor < Fair < Good < Excellent.

T.SelfAssessedHealthStatus = categorical(T.SelfAssessedHealthStatus,... {'Poor','Fair','Good','Excellent'},'Ordinal',true);

View the data type, description, units, and other descriptive statistics for each variable by using summary to summarize the table.

format compact

summary(T)

T: 100x6 table Variables: Age: double Height: double Weight: double Smoker: logical (34 true) SelfAssessedHealthStatus: ordinal categorical (4 categories) Location: categorical (3 categories) Statistics for applicable variables: NumMissing Min Median Max Mean Std
Age 0 25 39 50 38.2800 7.2154
Height 0 60 67 72 67.0700 2.8365
Weight 0 111 142.5000 202 154 26.5714
SelfAssessedHealthStatus 0 Poor Good Excellent
Location 0

The table variables SelfAssessedHealthStatus and Location are categorical arrays. The summary contains the counts of the number of elements in each category. For example, the summary indicates that 11 of the 100 patients assess their own health as poor and 34 assess their health as excellent.

Select Data Based on Categories

Create a subtable, T1, containing the age, height, and weight of all patients who were observed at County General Hospital and assesses their own health as excellent. You can easily create a logical vector based on the values in the categorical arrays Location and SelfAssessedHealthStatus.

rows = T.Location=='County General Hospital' & T.SelfAssessedHealthStatus=='Excellent';

rows is a 100-by-1 logical vector with logical true (1) for the table rows where the location is County General Hospital and the patients assessed their health as excellent.

Define the subset of variables.

vars = ["Age","Height","Weight"];

Use parentheses to create the subtable, T1.

T1=13×3 table Age Height Weight ___ ______ ______ Smith 38 71 176
Taylor 31 66 132
Anderson 45 68 128
King 30 67 186
Edwards 42 70 158
Rivera 29 63 130
Richardson 30 67 141
Torres 45 70 137
Peterson 32 60 136
Ramirez 48 64 137
Barnes 42 66 194
Butler 38 68 184
Bryant 48 66 134

Since ordinal categorical arrays have a mathematical ordering for their categories, you can perform elementwise comparisons of them with relational operations, such as greater than and less than.

Create a subtable, T2, of the age, height, and weight of all patients who assessed their health status as poor or fair.

First, define the subset of rows to include in table T2.

rows = T.SelfAssessedHealthStatus<='Fair';

Then, define the subset of variables to include in table T2.

vars = ["Age","Height","Weight"];

Use parentheses to create the subtable T2.

T2=26×3 table Age Height Weight ___ ______ ______ Johnson 43 69 163
Jones 40 67 133
Thomas 42 66 137
Jackson 25 71 174
Garcia 27 69 131
Rodriguez 39 64 117
Lewis 41 62 137
Lee 44 66 146
Hall 25 70 189
Hernandez 36 68 166
Lopez 40 66 137
Gonzalez 35 66 118
Mitchell 39 71 164
Campbell 37 65 135
Parker 30 68 182
Stewart 49 68 170
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