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R Programming Articles
Page 15 of 174
How to create scatterplot by standardizing the columns of a data frame using ggplot2 R?
To create scatterplot by standardizing the columns of a data frame using ggplot2 R, we can follow the below steps −First of all, create a data frame.Then, create the scatterplot using ggplot2 with raw values.After that, create the scatterplot with scale function.Create the data frameLet’s create a data frame as shown below −x
Read MoreHow to print matrix without line numbers in R?
To print matrix without line numbers in R, we can follow the below steps −First of all, create a matrix.Then, print the matrix with as.data.frame and row.names argument set to FALSE.Example1Create the matrixLet’s create a matrix as shown below −M1
Read MoreHow to assign a value to a base R plot?
To assign a value to a base R plot, we can follow the below steps −First of all, create a vector and its histogram then record it with recordPlot function in an object.Then, use dev.off function to remove the plot.After that, read the plot with object name.Create the vector and histogram then save it in an objectLet’s create a vector of normal distribution and create its histogram then save it in an object called Histogram using recordPlot as shown below −x
Read MoreHow to scale the R data frame by excluding a particular column?
To scale the R data frame by excluding a particular column, we can follow the below steps −First of all, create a data frame.Then, subset the data frame with single square brackets and scale function.Create the data frameLet’s create a data frame as shown below −Group
Read MoreHow to convert a correlation matrix into a logical matrix based on correlation coefficient in R?
To convert a correlation matrix into a logical matrix based on correlation coefficient in R, we can follow the below steps −First of all, create a matrix.Then, find the correlation matrix.After that, convert the correlation matrix into logical matrix based on coefficient value using greater than or less than sign.Example 1Let’s create a matrix as shown below −M1
Read MoreHow to find the sum of numbers stored in character vector separated with a special character in R?
To find the sum of numbers stored in character vector separated with a special character in R, we can follow the below steps −First of all, create a vector having numbers stored in character vector separated with a special character.Then, use sapply and strsplit function to find the sum of numbers.Example1Create a vector with numbers stored in character vector separated with hyphen −> x1 x1On executing, the above script generates the below output(this output will vary on your system due to randomization) − [1] "11-2-15-19-10" "11-2-15-19-10" "13-12-75-29-18" "15-25-52-91-10" [5] "15-25-52-91-10" "17-27-55-91-100" "13-12-75-29-18" "15-25-52-91-10" [9] "13-12-75-29-18" "10-4-5-19-10" "17-27-55-91-100" ...
Read MoreHow to subtract column values from column means in R data frame?
To subtract column values from column means in R data frame, we can follow the below steps −First of all, create a data frame.Then, find the column means using colMeans function.After that, subtract column values from column means.Creating the data frameLet's create a data frame as shown below −> x1 x2 x3 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x1 x2 x3 1 54 73 57 2 79 52 92 3 87 51 47 4 13 12 1 5 70 90 19 6 15 99 ...
Read MoreHow to create violin plot for categories with grey color palette using ggplot2 in R?
To create violin plot for categories with grey color palette using ggplot2, we can follow the below steps −First of all, create a data frame.Then, create the violin plot for categories with default color of violins.Create the violin plot for categories with color of violins in grey palette.Creating the data frameLet's create a data frame as shown below −> Group Score df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − Group Score 1 Second 405 2 Third 947 3 First 78 4 ...
Read MoreHow to convert data frame values to their rank in R?
To convert data frame values to their rank in R, we can follow the below steps −First of all, create a data frame.Then, find the rank of each value using rank function with lapply.Create the data frameLet's create a data frame as shown below −> x1 y1 df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x1 y1 1 -0.9045608 1.95315551 2 -1.6222122 -1.19880638 3 0.8618855 -0.33643175 4 -0.3547085 -0.18097356 5 -0.3043621 -0.60342210 6 0.5606001 -0.83618995 7 -1.1752752 -0.46651702 ...
Read MoreHow to find the critical value of F for regression anova in R?
To find the critical value of F for regression anova in R, we can follow the below steps −First of all, create a data frame.Then, create the regression model.After that, find the critical value of F statistic using qf function.Create the data frameLet's create a data frame as shown below −> x y df dfOn executing, the above script generates the below output(this output will vary on your system due to randomization) − x y 1 5 5 2 0 9 3 1 3 4 3 5 5 2 5 6 2 4 7 3 6 8 4 6 9 ...
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