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Articles on Trending Technologies
Technical articles with clear explanations and examples
How to set the number of digits to be printed for summary command without using options(digits) in R?
To set the nuber of digits to be printed for summary command without using options(digits), we can use digits argument while printing the summary. −Example 1Using mtcars data and finding the summary statistics with number of digits set to 2 −summary(mtcars, digits=2)On executing, the above script generates the below output(this output will vary on your system due to randomization) −Output mpg cyl disp hp drat Min. :10 Min. :4.0 Min. : 71 Min. ...
Read MoreHow to check if a column is categorical in R data frame?
To check if a column is categorical in R data frame, we can follow the below steps −First of all, create a data frame.Use class function to check the class of the column.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to find the common elements in multiple vectors in R?
To find the common elements in multiple vectors, we can follow the below steps −First of all, create a number of vectors.Use intersect function to find the common elements in all the vectors.Create the vectorsLet’s create a number of vectors as shown below −x
Read MoreHow to find the unique elements in multiple vectors in R?
To find the unique elements in multiple vectors, we can follow the below steps −First of all, create a number of vectors.Use setdiff function to find the common elements in all the vectors.Create the vectorsLet’s create a number of vectors as shown below −x
Read MoreHow to find the starting position for consecutive values given the length of consecutive values in an R vector?
To find the starting position for consecutive values given the length of consecutive values in an R vector, we can follow the below steps −First of all, create a vector with duplicated values.Find the run length.Create a vector with FALSE of vector size.Find the starting position by setting running length of consecutive values to TRUE for given length.Create the vectorLet’s create a vector having many duplciates so that we can get same consecutive values −x
Read MoreHow to apply different function to grouping values in an R data frame?
To apply different function to grouping values in an R data frame, we can follow the below steps −First of all, create a data frame.Then, use ifelse function to apply different function to grouping values.Create the data frameLet's create a data frame as shown below −x
Read MoreHow 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 ...
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