Now, we can loop over the columns of our data frame using the ncol function within the head of the for-statement. Within the for-loop, we are also using a logical if-condition:for(i in 1:ncol(iris_new1)) { # Head of for-loop if(grepl("Width", colnames(iris_new1)[i])) { ...
Workspace panel.The workspace panel displays the variables, functions, data frames and other objects that reside in the current workspace, a la MATLAB. From this panel, one can also switch or save workspaces. The user can also import a dataset from a text file using a trivial wizard (a la...
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After filtering and merging the dataframes there are now 84 observations of 22 variables. Checking the structure of the dataframe shows that all of the variables (except year and GDP per capita which are integers) in the dataframe are in ‘chr’ format which is the incorrect data type. From...
Now we have a list object with three dataframes. Let’s now use thelapply()function to conduct the same linear regression modelPetal.Length~Sepal.Lengthon each dataset. The output will be theanova()tables that show the F-statistic and overall model fits. ...
The Shiny app is now deployed to RStudio Connect and is automatically opened for me to view in a separate browser window. Old Faithful Geyser Data Here you can see that I have deployed the default ‘Old Faithful Geyser Data’ app onto RStudio Connect directly from the RStudio Server IDE....
tapply, one of the many functions in the 'apply' class for R is a easy function that will loop through your data a certain way. Each of the 'apply' functions loops over the data in different ways. I would highly suggest readingthis post on stackoverflowthat gives a great summary of ho...