Programming Articles - Page 1141 of 3363

An ordinal variable is a type of categorical variable which has natural ordering. For example, an ordinal variable could be level of salary something defined with Low, Medium, and High categories here we have three categories but there exists a natural order in these categories as low salary is always less than the medium, medium is always less than high. To create an ordinal variable in R, we can use the order argument along with factor function while creating the variable. Follow the below steps to create an ordinal variable in R −Create a categorical column with factor function where ... Read More

Subsetting is one of the commonly used technique which serves many different purposes depending on the objective of analysis. To subset a data frame by excluding a column with the help of dplyr package, we can follow the below steps −Creating a data frame.Subsetting the data frame based on numerical as well as categorical column at the same time with the help of filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live DemoLevel

If we want to create a scatterplot with two legends then we must be having two categorical or factor columns. This can be done by using the below steps −Creating a data frame with two numerical and two categorical columnsCreating the scatterplot with shape and color argument of geom_point function of ggplot2 packageCreate the data frameLet's create a data frame as shown below − Live Demox

Subsetting is one of the commonly used technique which serves many different purposes depending on the objective of analysis. To subset a data frame by excluding a column with the help of dplyr package, we can follow the below steps −Creating a data frame.Subsetting the data frame by excluding a column with select function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demox1

To subset rows of an R data frame if any columns have values greater than a certain value, we can follow the below steps −First of all, create a data frame.Then, use filter_all function of dplyr package with any_vars function to subset the rows of the data frame for any columns having values greater than a certain value.Create the data frameLet's create a data frame as shown below − Live Demox1

To divide the data frame row values by row minimum in R, we can follow the below steps −First of all, create a data frame.Then, use apply function to divide the data frame row values by row minimum.Create the data frameLet's create a data frame as shown below − Live Demox

To subset rows of data frame without NA using dplyr in R, we can follow the below steps −First of all, create a data frame.Then, use filter function of dplyr package to subset the rows with !is.na.Create the data frameLet's create a data frame as shown below − Live Demox

To subset row values based on columns name in R data frame, we can follow the below steps −First of all, create a data frame.Then, create a sample of column names of size equal to number of rows in the data frame and row names in the same manner with seq_len function, after that use cbind function to subset the rows based on columns name.Create the data frameLet's create a data frame as shown below − Live DemoGender_1

To find the point estimate using regression model in R, we can follow the below steps −First of all, create a data frame.Then, create the regression model.After that, define the value for which we want to find the point estimate and use predict function to find the estimate.Create the data frameLet's create a data frame as shown below − Live Demox1

To find the column mean of first n number of rows in R data frame, we can follow the below steps −First of all, create a data frame.Then, use colMeans function by reading the data frame with matrix function and nrow argument.Example1Create the data frameLet's create a data frame as shown below − Live Demox