Create Horizontal Stacked Bar Chart Using ggvis in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:57:22

240 Views

To create stacked bar chart using ggvis, we can follow the below steps −First of all, create a data frame.Create the horizontal stacked bar chart with layer_rects function of ggvis package.Create the data frameLet's create a data frame as shown below − Live DemoGroup

Find Maximum of Each Outcome of Two Throws of a Die in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:56:24

72 Views

To find the maximum of each outcome of two throws of a die, we can follow the below steps −Create the outcome of two throws of a die using expand.grid function.Finding the maximum of each outcome using pmin function.Generating the outcome of two throws of a dieUse expand.grid function to create the outcomes of throwing a die two times as shown below − Live DemoM

Divide Matrix Rows by Number of Columns in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:55:23

236 Views

To divide matrix rows by number of columns in R, we can follow the below steps −First of all, create a matrix.Then, use apply function to divide the matrix rows by number of columns.Create the matrixLet’s create a matrix as shown below − Live DemoM

Make All Text Size Same in ggplot2 Plot in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:52:56

932 Views

To make all text size same in a plot created by using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create a chart using ggplot2.After that, create the same chart with theme function and change the text size using text argument.Create the data frameLet's create a data frame as shown below − Live Demox

Count Duplicate Rows Greater Than N in R Data Frame

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:51:33

475 Views

To find the count of duplicate rows if they are greater than n in R data frame, we can follow the below steps −First of all, create a data frame.Then, count the duplicate rows if they are greater than a certain number using group_by_all, count, and filter function of dplyr package.Create the data frameLet's create a data frame as shown below − Live Demox

Create Facets in Vertical Order Using ggplot2 in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:50:55

4K+ Views

To create facets in vertical order using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create facetted plot with facet_grid function.After that, create the facetted plot with facet_wrap function.Create the data frameLet's create a data frame as shown below − Live Demox

Randomize Column Values of a Data Table Object in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:47:14

263 Views

To randomize column values of a data.table object for all columns in R, we can follow the below steps −First of all, create a data.table object.Then, use sample function with lapply to randomize the columns of the data.table object.Create the data frameLet's create a data frame as shown below −library(data.table) x

Create Two Lines Using ggplot2 Based on a Categorical Column in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:45:58

583 Views

To create two lines using ggplot2 based on a categorical column in R, we can follow the below steps −First of all, create a data frame.Then, create the line chart with categorical column read as factor inside aes of ggplot function.Create the data frameLet's create a data frame as shown below − Live Demox

Clone a Data Frame in R Without Data Values

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:44:35

683 Views

To create a clone of a data frame in R without data values, we can follow the below steps −First of all, create a data frame.Then, create the clone of the data frame by subsetting zero rows.Example 1Create the data frameLet's create a data frame as shown below − Live Demox1

Filter Data Frame by Categorical Variable in R

Nizamuddin Siddiqui
Updated on 14-Aug-2021 07:42:03

4K+ Views

To filter data frame by categorical variable in R, we can follow the below steps −Use inbuilt data sets or create a new data set and look at top few rows in the data set.Then, look at the bottom few rows in the data set.Check the data structure.Filter the data by categorical column using split function.Use inbuilt data setLet’s consider CO2 data set in base R − Live Demodata(CO2) head(CO2, 10)On executing, the above script generates the below output(this output will vary on your system due to randomization) −Grouped Data: uptake ~ conc | Plant   Plant Type Treatment conc uptake ... Read More

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