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To find the index of the nearest smallest number in an R data frame column, we can use which function along with subsetting for the value for which we want to find the index of the nearest smallest number. To understand how it can be done check out the below examples.Example1Consider the below data frame − Live DemoID
To create a date vector with randomization, we can use sample function but the dates need to be read with as.Date function. For example, if we have 2 dates say 2021-01-01 and 2021-02-02 then a vector with randomization of these three dates can be created by using the command −sample(c(as.Date("2021-01-01"),as.Date("2021-02-02")),100,replace=TRUE)Example1 Live DemoDate1
To multiply large numbers with all digits in the output, we can use mul.bigz function of gmp package. For example, if we have two vectors say x and y each containing numbers of large size then the multiplication of these numbers that will return all the digits of the multiplication can be done by using the command mul.bigz(x,y).Example1Loading gmp package and multiplying vectors containing large number values −library(gmp) x1
The main values in a boxplot are minimum, first quartile, median, third quartile, and the maximum, and this group of values is also called five-number summary. Therefore, if we want to show values in boxplot then we can use text function and provide the five-number summary and labels with fivenum function as shown in the below examples.Example1x
To create a horizontal boxplot in base R, we can set the horizontal argument inside boxplot function to TRUE. For example, if we have a vector called x then the horizontal histogram of that vector can be created by using the command boxplot(x,horizontal=TRUE).Example1x
To create normal random variables with specific correlation between them, we can use mvrnorm function of MASS package. For example, if we want to create two variables of size 10 with means equal to 2 and 4 and standard deviation of 0.5 then it can be done by using the command −mvrnorm(10,mu=c(2,4),Sigma=matrix(c(1,0.5,0.5,1),ncol=2),empirical=TRUE)Example1library(MASS) X
To set the text position using geom_text, we can use the value for the X-axis and Y-axis with appropriate positions. We need to make sure that the values we set for both the axes do not lie within the data otherwise the text will be printed on the plot we want to draw and it will become less attractiveExampleConsider the below data frame − Live Demox
To find the percentage for frequencies stored in a vector with two decimal places can be done with the help of sum function and round function. For example, if we have a vector of frequencies say x then the percentage of these frequencies can be found by using the command round((x/sum(x))*100,2). Check out the below examples to understand how it works.Example1 Live DemoFrequency1
To create duplicate matrices, we can use replicate function that will repeat the original matrix and if we want to merge those matrices together then we can use rbind with do.call. For example, if we have a matrix called M then creation of it’s one duplicate and merging them together can be done using the command −do.call(rbind,replicate(2,M,simplify=FALSE))Example Live DemoM
To find the opposite of %in%, we can use negation operator ! (exclamation sign). For example, if we have a data frame df that contains a column say x then to subset df by excluding some values (say 2, 3) we can use the command subset(df,!(x %in% c(2,3))).Example1Consider the below data frame − Live Demox1