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Server Side Programming Articles
Page 1116 of 2109
How to display tick marks on upper as well as right side of the plot using ggplot2 in R?
To display tick marks on upper as well as right side of the plot, we can create duplicate axes for X as well Y by using scale_x_continuous and scale_y_continuous functions. The argument that will help us in this case is sec.axis and we need to set it to dup_axis as scale_x_continuous(sec.axis=dup_axis()) and scale_y_continuous(sec.axis=dup_axis()). Check out the below example to understand how it can be done.ExampleConsider the below data frame −x
Read MoreHow to display mean in a boxplot with cross sign in base R?
To display mean in a boxplot with cross sign in base R, we can use the points function and pass the mean with pch = 4 that represents a star, also we can change the color to highlight the mean using col argument and the size of the start can be changed using lwd argument as shown in the below examples.Examplex
Read MoreHow to perform paired t test in R with a factor column in the data frame?
When we have a factor column in an R data frame that has two levels and a numerical column then we can apply paired-test on this data frame but the data must be collected for same subjects, otherwise it will not be a paired data. The t.test application on the data discussed here can be done by using the command t.test(y1~x1,data=df), where y1 is the numerical column, x1 is the factor column, and both these columns are stored in data frame called df.ExampleConsider the below data frame −x1
Read MoreHow to create a blank column with randomization in an R data frame?
To create a blank column with randomization in an R data frame, we can use sample function and pass the blanks with single space. For example, if we want to create a vector say x that will be added in the data frame can be created by using the command −x
Read MoreHow to generate random numbers with sequence and store in a data frame column in R?
To generate random numbers with sequence and storing them in a data frame column, we can use sample function with seq. For example, if we want to create a data frame column having random sequence of values of size 50 between 1 to 100 by considering every tenth value then we can use the commanddf
Read MoreHow to set the range for boxplot in base R?
By default, R considers the vector or the data frame column values. But if we want to set the range for boxplot in base R, we can use ylim argument within the boxplot function. For example, if we have a vector called x that contains values starting from 21 to 50 and we want to have the range in the boxplot starting from 1 to 100 then we can use the commandboxplot(x,ylim=c(1,100))Examplex
Read MoreHow to filter rows by excluding a particular value in columns of the R data frame?
To filter rows by excluding a particular value in columns of the data frame, we can use filter_all function of dplyr package along with all_vars argument that will select all the rows except the one that includes the passed value with negation. For example, if we have a data frame called df and we want to filter rows by excluding value 2 then we can use the commanddf%>%filter_all(all_vars(.!=2))ExampleConsider the below data frame −x1
Read MoreHow to find the number of levels in R for a factor column?
To find the number of levels in R for a factor column, we can use length function along with unique function. For example, if we have a data frame called df that contains a factor column X then we can find the number of levels in the factor column using the command −length(unique(df$X))ExampleConsider the below data frame −x1
Read MoreHow to create boxplot in base R with higher width of the box lines?
To create boxplot in base R with higher width of the box lines, we can use the boxlwd argument inside boxplot function. For example, if we have a vector called x then we can create the boxplot with higher width of the box lines using the command −boxplot(x,boxlwd=5)Examplex
Read MoreHow to replace a particular value in R data frame with a new value?
To replace a particular value in R data frame with a new value, we can use ifelse function where the new value will be placed after the condition and if the column values do not match the condition then the same column will be placed. For example, if we have a data frame called df that contains a column x having 20 values and some of them are 5 and if we want to replace 5 with 2 then we can use the command df$x
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