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The facetted histograms are the separated histograms created for different categories in a single plot window. We can follow the below steps to create such type of histograms using ggplot2 −First of all, create the data frame.Load the ggplot2 package and create facetted histogram with the help of facet_grid function of ggplot2 package.Create the data frameLet's create a data frame as shown below − Live DemoGroup
To remove duplicates in series from each row in an R data frame, we can follow the below steps −Create a data frame.Removing duplicates in series from rows of the data frameCreate the data frameLet's create a data frame as shown below − Live Demox1
We know that the middle portion of a boxplot is a box which is covered with black border but we can remove that border from the plot by defining the aesthetics of the boxplot with color argument. We can follow the below steps to create such type of boxplot −Creating a data frame.Then create a default boxplot.Loading ggplot2 package and creating the same boxplot without box border.Create the data frameLet's create a data frame as shown below − Live Demox
A probability distribution is the type of distribution that gives a specific probability to each value in the data set. For example, if we have a variable say X that contains three values say 1, 2, and 3 and each of them occurs with the probability defined as 0.25, 0.50, and 0.25 respectively then the function that gives the probability of occurrence of each value in X is called the probability distribution. In R, we can create the sample or samples using probability distribution if we have a predefined probabilities for each value or by using known distributions such as ... Read More
If we want to create a subset of a data frame based on multiple numerical columns then we can follow the below steps −Creating a data frame.Subsetting the data frame with the help of filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demox1
Subsetting is one of the commonly used technique which serves many different purposes depending on the objective of analysis. To subset a data frame if numerical column is greater than a certain value for a particular category in grouping column then we need to follow the below steps −Creating a data frame.Subsetting the data frame with the help of filter function of dplyr package.Create 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 if one of the supplied grouping values is found means that we want to subset if any of the categorical variable values is present in the categorical column and if we want to include a numerical column for a greater than value then we need to follow the below steps −Creating a data frame.Subsetting the data frame if any of the supplied value of categorical variable exist and a numerical column value is greater than a ... 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 if one of the supplied grouping values is found means that we want to subset if any of the categorical variable values is present in the categorical column, for this purpose we can follow the below steps −Creating a data frame.Subsetting the data frame if any of the supplied value of categorical variable exist.Create the data frameLet's create a data frame as shown below − Live Demox
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