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To find the exponent of each value if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the exponent if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Level
To sort a numerical factor column in an R data frame, we would need to column with as.character then as.numeric function and then order function will be used.For Example, if we have a data frame called df that contains a numerical factor column say F then we can use sort F by using the below mentioned command −df[order(as.numeric(as.character(df$F))),]Example 1Following snippet creates a sample data frame −Class
To convert first letter into capital in R data frame column, we can follow the below steps −First of all, create a data frame with string column.Then, use sub function to convert first letter into capital in string column.ExampleCreate the data frameLet’s create a data frame as shown below −Names
To create a column of rounded values in data frames stored in R list, we can follow the below steps −First of all, create a list of data frames.Then, use lapply function to create a column of rounded valuesin data frames stored in the list.ExampleCreate the list of data framesUsing data.frame function to create data frames and list function to create the list of those data frames −df1
To create a column of factorial values in data frames stored in R list, we can follow the below steps −First of all, create a list of data frames.Then, use lapply function to create a column of factorial values in data frames stored in the list.ExampleCreate the list of data framesUsing data.frame function to create data frames and list function to create the list of those data frames −df1
To find the count of unique group combinations in an R data frame, we can use count function of dplyr package along with ungroup function.For Example, if we have a data frame called df that contains three grouping columns say G1, G2, and G3 then we can count the unique group combinations in df by using the below given command −count(df,G1,G2,G3)%%ungroup()Example 1Following snippet creates a sample data frame −Grp1
To create a column of absolute values in data frames stored in R list, we can follow the below steps −First of all, create a list of data frames.Then, use lapply function to create a column of absolute values in data frames stored in the list.ExampleCreate the list of data framesUsing data.frame function to create data frames and list function to create the list of those data frames −df1
To find the cumulative sums if some columns are categorical in R data frame, we can follow the below steps −First of all, create a data frame.Then, use numcolwise function from plyr package to find the cumulative sums if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Gender
To multiply vector values in sequence with data frame columns in R, we can follow the below steps −First of all, create a data frame.Then, create a vector.After that, use t function for transpose and multiplication sign * to multiply vector values in sequence with data frame columns.Example 1Create the data frameLet’s create a data frame as shown below −x1
To create a column of exponent in data frames stored in R list, we can follow the below steps −First of all, create a list of data frames.Then, use lapply function to create a column of exponent in data frames stored in the list.ExampleCreate the list of data framesUsing data.frame function to create data frames and list function to create the list of those data frames −df1