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R Programming Articles
Page 9 of 174
Why mean is NaN even if na.rm is set to TRUE using dplyr in R?
If na.rm is set to TRUE using dplyr package then the output for statistical operations returns NaN. To avoid this, we need to exclude na.rm. Follow below steps to understand the difference between the tw −First of all, create a data frame.Summarise the data frame with na.rm set to TRUE if NA exists in the data frame.Summarise the data frame without setting na.rm to TRUE.Create the data frameLet's create a data frame as shown below −Group&li;-rep(c("First", "Second", "Third"), times=c(3, 10, 7)) Response&li;-rep(c(NA, 3, 4, 5, 7, 8), times=c(3, 2, 5, 2, 4, 4)) df&li;-data.frame(Group, Response) dfOn executing, the above script ...
Read MoreHow to generate the outcome of three throws of a die in R?
When we roll a die three times, the sample space contains two hundred and sixteen outcomes that is 216. If we want to generate the outcome of three throws of a die then expand.grid function can be used with rep and list function.Generating the outcome of three throws of a dieLet's create a data frame as shown below −expand.grid(rep(list(1:6),2))On executing, the above script generates the below output(this output will vary on your system due to randomization) −OutputVar1 Var2 1 1 1 2 2 1 3 3 1 4 4 1 5 5 1 6 6 1 7 1 2 8 2 2 9 3 2 10 4 2 11 5 2 12 6 2 13 1 3 14 2 3 15 3 3 16 4 3 17 5 3 18 6 3 19 1 4 20 2 4 21 3 4 22 4 4 23 5 4 24 6 4 25 1 5 26 2 5 27 3 5 28 4 5 29 5 5 30 6 5 31 1 6 32 2 6 33 3 6 34 4 6 35 5 6 36 6 6
Read MoreHow to divide data frame rows by number of columns in R?
To divide data frame rows by number of columns in R, we can follow the below steps −First of all, create a data frame.Then, use apply function to divide the data frame rows by number of columns.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to create stacked bar chart using ggvis in R?
To create stacked bar chart using ggvis, we can follow the below steps −First of all, create a data frame.Create the stacked bar chart with layer_bars function of ggvis package.Create the data frameLet's create a data frame as shown below −Group
Read MoreHow to convert year, month, and day of the month into a complete date in R?
To convert year, month, and day of the month into a complete date, we can follow the below steps −Create a data frame with Year, Month and DayOfMonth as separate columns.Use mutate function of dplyr package to create complete date.Create the data frameLet's create a data frame as shown below −Year
Read MoreHow to create scatterplot for categories with grey color palette using ggplot2 in R?
To create scatterplot for categories with grey color palette using ggplot2, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot for categories with default color of points.Create the scatterplot for categories with color of points in grey palette.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to create boxplot for categories with grey color palette using ggplot2 in R?
To create boxplot for categories with grey color palette using ggplot2, we can follow the below steps −First of all, create a data frame.Then, create the boxplot for categories with default color of bars.Create the boxplot for categories with color of bars in grey palette.Create the data frameLet's create a data frame as shown below −Group
Read MoreHow to check if a column is categorical in R data frame?
To check if a column is categorical in R data frame, we can follow the below steps −First of all, create a data frame.Use class function to check the class of the column.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to apply different function to grouping values in an R data frame?
To apply different function to grouping values in an R data frame, we can follow the below steps −First of all, create a data frame.Then, use ifelse function to apply different function to grouping values.Create the data frameLet's create a data frame as shown below −x
Read MoreHow to find the common elements in multiple vectors in R?
To find the common elements in multiple vectors, we can follow the below steps −First of all, create a number of vectors.Use intersect function to find the common elements in all the vectors.Create the vectorsLet’s create a number of vectors as shown below −x
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