Server Side Programming Articles - Page 734 of 2650

To create a replacement column with multiple conditions and NA in data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use nested ifelse function to create a replacement column with multiple conditions.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) x

To find the sum of rows of a column based on multiple columns in R’s data.table object, we can follow the below steps−First of all, create a data.table object.Then, use aggregate function to find the sum of rows of a column based on multiple columns.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) F1

To remove dollar sign in data.table object in R, we can follow the below steps −First of all, create a data.table object.Then, use gsub function along with lapply function to remove dollar sign.ExampleCreate the data.table objectLet’s create a data.table object as shown below −library(data.table) Sale_Price

To multiply vector values in sequence with data.table object columns in R, we can follow the below steps:−First of all, create a data.table.Then, create a vector.After that, use t function for transpose and multiplication sign * to multiply vector values in sequence with data.table object columns.Example 1Create the data.table objectLet’s create a data.table object as shown below −library(data.table) var1

To find the column totals 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 column totals if some columns are categorical.Example 1Create the data frameLet’s create a data frame as shown below −Grp

To add rows in an R data frame, we can follow the below steps −First of all, create a data frame.Then, use rbind function and the vectors that will be added as rows to the data frame.ExampleCreate the data frameLet’s create a data frame as shown below −x

To create a column of first non-zero value in each row of a data.table object in R, we can follow the below steps −First of all, create a data.table object with some zero values.Then, use apply function and a custom function to find the first non-zero 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 percent of zeros 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 along with ncol function to find the percent of zeros in each row of the data frame.ExampleCreate the data frameLet’s create a data frame as shown below −x

To subset an R data frame by ignoring a value in one of the columns, we can follow the below steps −First of all, create a data frame.Then, use single square brackets to subset the data frame by ignoring a value in one of the columns.ExampleCreate the data frameLet’s create a data frame as shown below −x

To remove percentage sign at last position from every value in R data frame column, we can follow the below steps −First of all, create a data frame with a column having percent sign at last position in every value.Then, use gsub function to remove the percent sign at last position from every value in the column.ExampleCreate the data frameLet’s create a data frame as shown below −var