Programming Articles - Page 874 of 3366

To find the rank of each value in columns 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 rank of each value in columns if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Level

To find the range of columns 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 range of columns if some columns are categorical.ExampleCreate the data frameLet’s create a data frame as shown below −Level

To convert values in alternate rows to negative in R data frame column, we can follow the below steps −First of all, create a data frame.Then, use vector multiplication with 1 and minus 1 to convert values in alternate rows to negative.ExampleCreate the data frameLet’s create a data frame as shown below −x

To find the percent of NAs in each row of an R data frame, we can follow the below steps −First of all, create a data frame.Then, use rowSums function and ncol function along with apply function to find the percent of NAs in each row of the data frameExampleCreate the data frameLet’s create a data frame as shown below −v1

To find the row variance of columns having same name in R data frame, we can follow the below steps −First of all, create a data frame with some columns having same name.Then, use tapply along with colnames and var function to find the row variance of columns having same name.ExampleCreate the data frameLet’s create a data frame as shown below −df

To change the sign of even number rows in an R data frame column, we can follow the below steps −First of all, create a data frame.Then, use vector multiplication with 1 and minus 1 to change the sign of even number rows.ExampleCreate the data frameLet’s create a data frame as shown below −x

To find the percent of zeros in each row of a data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use rowSums function along with ncol function to find the percent of zeros in each row of the data.table object.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) v1

To find the row standard deviation of columns having same name in R data frame, we can follow the below steps −First of all, create a data frame with some columns having same name.Then, use tapply along with colnames and sd function to find the row standard deviation of columns having same name.ExampleCreate the data frameLet’s create a data frame as shown below −df

To multiply row values in a data frame having multiple rows with single row data frame in R, we can follow the below steps −First of all, create a data frame with multiple rows and a data frame with single row.Then, use mapply function to multiply row values in the data frame having multiple rows with single row data frame.ExampleCreate the first data frameLet’s create a data frame as shown below −x

To find the row standard deviation of columns having same name in data.table object in R, we can follow the below steps −First of all, create a data.table object with some columns having same name.Then, use tapply along with colnames and sd function to find the row standard deviation of columns having same name.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) DT