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R Programming Articles
Page 77 of 174
How to convert negative values in an R data frame to positive values?
Sometimes we need to use absolute values but few values in the data set are negative, therefore, we must convert them to positive. This can be done by using abs function. For example, if we have a data frame df with many columns and each of them having some negative values then those values can be converted to positive values by just using abs(df).ExampleConsider the below data frame −set.seed(41) x1
Read MoreHow to create a scatterplot using five vectors in a single plot window without separating the plots in R?
To create more than one scatterplot in a single plot window we should create the scatterplot for first vector and then add the point of the remaining vectors by using points function and they can be displayed with different colors so that it becomes easy to differentiate among the points of the vectors.ExampleConsider the below vectors −x1
Read MoreHow to remove outliers from multiple boxplots created with the help of boxplot function for columns of a data frame using single line code in R?
A data frame can have multiple numerical columns and we can create boxplot for each of the columns just by using boxplot function with data frame name but if we want to exclude outliers then outline argument can be used. For example, if we have a data frame df with multiple numerical columns that contain outlying values then the boxplot without outliers can be created as boxplot(df,outline=FALSE).ExampleConsider the below data frame:set.seed(151) x1
Read MoreHow to sort a list that contains single sub-elements in decreasing order in R?
Just like a list can have multiple elements, the elements of the list can have multiple sub-elements and the size of those elements may vary as well hence a list with single sub-elements is also possible. If we have such type of list then we can sort that list in decreasing order by using order function but we also need to unlist those elements.ExampleConsider the below list −x1
Read MoreHow to find the confidence interval for the predictive value using regression model in R?
The confidence interval for the predictive value using regression model can be found with the help of predict function, we just need to use interval argument for confidence and the appropriate level for that. For example, if we have a model M and the data frame for the values of independent variable is named as newdata then we can use the following syntax for the confidence interval −predict(M,newdata,se.fit=TRUE,interval="confidence",level=0.95)ExampleConsider the below data frame −set.seed(1234) x1
Read MoreHow to remove a column from a data frame that contains same value in R?
If we have only one value in all of the rows of an R data frame then we might want to remove the whole column because the effect of that column will not make any sense in the data analysis objectives. Thus, instead of removing the column we can extract the columns that contains different values.Exampleset.seed(1001) x1
Read MoreHow to create plot in R with different shape of points?
In base R, the plot with different shape of points can be created by using pch argument inside the plot function. The list of pch values with shape is as written below −pch = 0 display square pch = 1 display circle pch = 2 display triangle point up pch = 3 display plus pch = 4 display cross pch = 5 display diamond pch = 6 display triangle point down pch = 7 display square cross pch = 8 display star pch = 9 display diamond plus pch = 10 display circle plus pch = 11 display triangles up ...
Read MoreHow to find the median of all columns in an R data frame?
The median is the value in a vector that divide the data into two equal parts. To find the median of all columns, we can use apply function. For example, if we have a data frame df that contains numerical columns then the median for all the columns can be calculated as apply(df,2,median).ExampleConsider the below data frame −set.seed(7) x1
Read MoreHow to find the frequency of NA values per row in an R data frame?
Since column represent variables, we often find missing values in the columns of a data frame but we may want to find missing values(NA) for cases as well so that we can replace them based on case characteristic instead of the distribution of the variable. In R, we can use rowSums with apply function.ExampleConsider the below data frame −set.seed(8) x1
Read MoreHow to find the size of the plotting window in R?
The plotting window size can be found by using dev.size function and we can pass in for inches and cm for centimeters. For example, if we create a plot then we can use dev.size("in") to find the plot size in inches and dev.size("cm") to find the size in centimeters.ExampleConsider the below vectors and create a point chart between those vectors −x
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