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To create grouped line chart using ggplotly in R, we can follow the below steps −First of all, create a data frame.Then, create the line chart using ggplot2.After that, convert the ggplot2 chart into ggplotly chartCreate the data frameLet’s create a data frame as shown below − Live Demox
To convert numeric levels of a factor into string in R data frame, we can follow the below steps −First of all, consider an in-built data set or create new one.Then, use mutate function with ifelse to create string column based numeric column representing a factor.Consider an-inbuilt data setLet’s have a look at mtcars data set in base R − Live Demodata(mtcars) head(mtcars, 25)On executing, the above script generates the below output(this output will vary on your system due to randomization) −Output mpg cyl disp hp drat wt qsec vs am ... Read More
To define the number of breaks in base R histogram, we can use breaks argument along with hist function.Create the histogram with small number of breaksUse a vector with normal distribution and the histogram of the same vector with ten breaks − Live Demox
To check the data frame structure without using str function in R, we can follow the below steps −First of all, load the data or create new data or use an in-built data set.Then, use glimpse function of tibble package.Example 1Use in-built data setConsider the mtcars data set, load the tibble package and use glimpse function to look at the structure of mtcars data −library(tibble) glimpse(mtcars)OutputRows: 32 Columns: 11 $ mpg 21.0, 21.0, 22.8, 21.4, 18.7, 18.1, 14.3, 24.4, 22.8, 19.2, 17.8, ~ $ cyl 6, 6, 4, 6, 8, 6, 8, 4, 4, 6, 6, 8, 8, ... Read More
To convert ggplot2 graph into a plotly graph in R, we can follow the below steps −First of all, create a data frame.Then, create a ggplot2 graph and save it in an object.After that, load plotly package and create the ggplot2 graph using ggplotly function.Create the data frameLet's create a data frame as shown below − Live Demox
To display NA group values in scatterplot created with ggplot2 using color brewer in R, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot with default colors.After that, use scale_color_brewer function to create the scatterplot with color of points (including NA) based on color palette given in scale_color_brewer.Create the data frameLet's create a data frame as shown below − Live Demox
Macro substitution is a mechanism that provides a string substitution. It can be achieved through "#deifne".It is used to replace the first part with the second part of the macro definition, before the execution of the program.The first object may be a function type or an object.SyntaxThe syntax for macros is as follows −#define first_part second_partProgramIn the program for every occurrence of first_part is replaced with the second_part throughout the code. Live Demo#include #define square(a) a*a int main(){ int b, c; printf("enter b element:"); scanf("%d", &b); c=square(b);//replaces c=b*b before execution of program printf("%d", c); return 0; }OutputYou will see the following ... Read More
To combine multiple columns into one in R data frame without using column names, we can follow the below steps −First of all, create a data frame.Then, convert the data frame into a single column data frame.Again, convert the data frame into a single column without column names displayed in rows using row.names function.Create the data frameLet's create a data frame as shown below −Example Live Demox
To enable ffmpeg for matplotlib.animation, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Set the ffmpeg directory.Create a new figure or activate an existing figure, using figure() method.Add an 'ax1' to the figure as part of a subplot arrangement.Plot the divider based on the pre-existing axes.Create random data to be plotted, to display the data as an image, i.e., on a 2D regular raster.Create a colorbar for a ScalarMappable instance, cb.Set the title as the current frame.Make a list of colormaps.Make an animation by repeatedly calling a function, animate. The ... Read More
To create a graph in base R with multiple shades of a particular color, we can follow the below steps −First of all, create color shades using colorRampPalette then plot a graph.Use the color shades to create the graph.Example 1Create the color shadesUsing colorRampPalette function to create the color shades between red and darkred color then creating the plot − Live DemoColor