Server Side Programming Articles - Page 986 of 2650

A variety of undergraduate and graduate programs are available at Indiana University's Kelley School of Business, which is located in the university's business college. These programs include debt financing, accounting, marketing, and management. According to the U.S. News and World Report, it is consistently ranked among the top 25 business schools in the country.Key Points BrieflyEstablished in 1920, the Kelley School of Business is a private institution of higher learning. It has locations on the Indiana University Bloomington and Indianapolis campuses, as well as in Indianapolis. 2Additionally, in addition to the full-time MBA, students can pursue an online MBA or ... Read More

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 − Live DemoM1

To find confidence interval for binomial distribution in R, we can use binom.confint function of binom package. This will result in confidence intervals based on many different methods. Check out the below examples to understand how it can be done.Example 1Loading Binom package and finding 95% confidence interval for a binomial distribution with sample of size 20 in which 5 outcomes are favourable −library(binom) binom.confint(5, 20, conf.level=0.95)Output      method    x n    mean       lower     upper 1 agresti-coull 5 20 0.2500000 0.10808718 0.4724754 2 asymptotic    5 20 0.2500000 0.06022730 0.4397727 3 bayes   ... Read More

To find the table of mean of a numerical column based on two factors in R data frame, we can follow the below steps −First of all, create a data frame with two factor and one numerical column.Then, find the table of mean of numerical column based on factor columns using tapply function.Example1Let’s create a data frame as shown below − Live DemoGroup1

To align the text horizontally in a bar plot created by using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create the bar plot using ggplot2 with text displayed on each bar.After that, create the same bar plot with text aligned horizontally.Create the data frameLet’s create a data frame as shown below − Live DemoCategory

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 − Live Demox

To display mean per group in facetted graph using ggplot2 in R, we can follow the below steps −First of all, create a data frame.Then, create the facetted scatterplot between two columns.After that, create the facetted scatterplot and add geom_line with mean calculated for y values.Create the data frameLet’s create a data frame as shown below − Live Demox

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 − Live Demox

To create scatterplot by standardizing the columns of a data frame in base R, we can follow the below step −First of all, create a data frame.Then, create scatterplot between two columns with their default value.After that, create the scatterplot with scale function.Create the data frameLet’s create a data frame as shown below − Live Demox

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 −  Live DemoGroup