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When we create a plot using ggplot2, the axes labels are automatically generated for both the axes. We might want to use those axes labels for report writing or some other purpose, therefore, extraction of those labels for a plot created by using ggplot2 package can be found by using the ggplot_build function as shown in the below example but we need to save the plot in an object.Consider the below data frame −Example Live Demox
To change the defaults for ggplot2 geoms, we need to use update_geom_defaults function. If we want to change the shape of points for scatterplot, we can use the below syntax −update_geom_defaults("point",list(shape=”point_shape_number”))The point shape number ranges from 0 to 25. We can change that according to our need.Consider the below data frame −Example Live Demox
If list elements are of equal size having numerical values then the boxplot for each element can be created by using ggplot2 but before creating the boxplot we would need to convert the list to a data frame. The conversion of list elements to a data frame will be done by unlisting of elements and creating two columns, one for categories and one for response variable. Check out the below example to understand how it works.Consider the below list −Example Live DemoList
A list object can contain multiple elements of data, also the size of the data may vary. If a list object has numerical vectors then the boxplot for each of the elements can be created simply by using boxplot function. For example, if we have a list object called LIST that contains five numerical vectors then the boxplot for each of the vectors can be created by using the command boxplot(LIST)Example Live DemoList
To change the first value for each group in data.table object, we can use single square brackets for accessing and changing the value to desired value. For example, if we have a data.table object called DT that contains a group column defined by Class and a numerical column defined by Response then the first value of Response for each Class can be set to say 5 by using the command DT[,Response:=c(2,Response[-]),by=Class]Consider the below data.table object −Examplelibrary(data.table) Group
To display text in base R plot with 180 degrees rotation, we can use text function. We would need to define both the axes values for the position where we need the text to be rotated inside the plot. For the rotation of the text, srt argument will be used and set to the value equals to 270. Check out the below example to understand how it works.Examplex
A binomial distribution is based on the distribution of success and failure, the other two parameters of binomial distribution are the sample size and the probability of success. To create a plot of binomial distribution, we first need to define the density of the binomial distribution using dbinom function. The plotting can be done by using plot function with success and the density as shown in the below examples.Examplex
If two values are repeated in a column that means there are many same values in that column but if those values are repeated in column as well as rows then they are called duplicated rows in two columns. To remove duplicate rows in an R data frame if exists in two columns, we can use duplicated function as shown in the below examples.Consider the below data frame −Example Live Demox1
Be default, the labels on the plot are represented without sign in a barplot that is created by using ggplot2 but we might want to display the sign of the labels especially in cases where we have some negative values. This can be done with the help of geom_text function of ggplot2 package as shown in the below example.Consider the below data frame −Example Live Demox
Sometimes we want to add new data to original data frame in situations such as we need more data for analysis, looking for comparison between small size and large size data, or some data is missing in the original data and hence need more to be added from other data sets. One such thing would be adding a new to an existing data frame from another data frame. It can be done with the help of rbind function as shown in the below example.Consider the below data frames df1 and df2 −Example Live Demox