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Articles by Nizamuddin Siddiqui
Page 35 of 196
How to find the confusion matrix for linear discriminant analysis in R?
To find the confusion matrix for linear discriminant analysis in R, we can follow the below steps −First of all, create a data frame.Create new features using linear discriminant analysis.Find the confusion matrix for linear discriminant analysis using table and predict function.Create the data frameLet's create a data frame as shown below −Group
Read MoreHow to create NA column for a contingency table in R?
To create NA column for a contingency table in R, we can follow the below steps −First of all, create a data frame with two columns having some NA values.Create a contingency table for two columns.Create the same table using useNA.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to find the summary by categorical variable in R?
To find the summary by categorical variable, we can follow the below steps −Use inbuilt data sets or create a new data set.Find the summary statistics with by function.Use inbuilt data setLet’s consider mtcars data set in base R −data(mtcars) head(mtcars, 25)On executing, the above script generates the below output(this output will vary on your system due to randomization) − mpg cyl disp hp drat wt qsec vs am gear carb Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 ...
Read MoreHow to filter data frame by categorical variable in R?
To filter data frame by categorical variable in R, we can follow the below steps −Use inbuilt data sets or create a new data set and look at top few rows in the data set.Then, look at the bottom few rows in the data set.Check the data structure.Filter the data by categorical column using split function.Use inbuilt data setLet’s consider CO2 data set in base R −data(CO2) head(CO2, 10)On executing, the above script generates the below output(this output will vary on your system due to randomization) −Grouped Data: uptake ~ conc | Plant Plant Type Treatment conc uptake 1 ...
Read MoreHow to create a clone of a data frame in R without data values?
To create a clone of a data frame in R without data values, we can follow the below steps −First of all, create a data frame.Then, create the clone of the data frame by subsetting zero rows.Example 1Create the data frameLet's create a data frame as shown below −x1
Read MoreHow to find the maximum of each outcome of two throws of a die in R?
To find the maximum of each outcome of two throws of a die, we can follow the below steps −Create the outcome of two throws of a die using expand.grid function.Finding the maximum of each outcome using pmin function.Generating the outcome of two throws of a dieUse expand.grid function to create the outcomes of throwing a die two times as shown below −M
Read MoreHow to perform Friedman test in R?
To perform Friedman test in R, we can follow the below steps −First of all, create a matrix.Then, use friedman.test function to perform the Friedman test.Example1Create the matrixLet's create a data matrix as shown below −First
Read MoreHow to find the row minimum excluding zero in R data frame returning 0 if all 0?
To find the row minimum excluding zero in R data frame returning 0 if all 0, we can follow the below steps −First of all, create a data frame.Then, find the row minimum by excluding zero using if function with apply function.Example1Create the data frameLet's create a data frame as shown below −x1
Read MoreHow to create a table of frequency for range of values in an R data frame column?
To create a table of frequency for range of values in an R data frame column, we can follow the below steps −First of all, create a data frame.Then, use table function with cut function to create the table of frequency for range of values.Example 1Create the data frameLet's create a data frame as shown below −x
Read MoreHow to return a logical value for a t test based on 0.05 level of significance in R?
To return a logical value for a t test based on 0.05 level of significance in R, we can follow the below steps −First of all, create a data frame with one column.Apply t.test function with ifelse to return logical value based on 0.05 level of significance.Example1Create the data frameLet's create a data frame as shown below −x
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