Since it was created, R programming has continuously put the world in awe and now became the leading language in almost all data science and as well as statistics. Nowadays, it is one of the most preferred tools for data scientists in every field and industry out there.

Whether a person is a full-time cruncher or is just an occasional or part-time data analyst, the R programming project is really helpful and suits everyone’s unique needs. This particular free open-source statistical tool and programming language is available for Mac, Windows, and Linux which is really advantageous to all, especially for busy businessmen.

It consists of a base or core R software and add-on packages that fully extend functionality which was developed way back in the 1970s. A lot of patrons love the R Programming Project is one of the greatest creations of man and a boon that can be used for graphics, statistical analysis, and reporting.

Aside from that, the best things that make it very beneficial to have is that it can also be used to effectively manipulate data and to run important statistical analyses such as t-tests, descriptive statistics, regressions and it is useful also in producing charts.

To some, using the R Programming project is quite confusing and difficult, especially those that are using it first time. We know that you would be needing a certain R Programming help such as how to examine your certain data object.

Before you can finally start analyzing, you must take a look first at the data object’s structure as well as a few possible row of entries. If it is a typical 2-dimensional table of data that is stored in R data frame object with columns and rows, then you will certainly need a guide or R programming help on how to do it.

If you type: head(mydata) R will then show the column headers of mydata and the first six rows by default. If you want to see the first 10 rows instead of only 6, you can type: head(mydata, n=10) or just head(mydata, 10.Note that if the object is just a one-dimensional vector of numbers like 1, 1, 2,3, 5, 8, 13, 21, and 34, head(mydata) will only give you the 1st 6 items in a certain vector.

If you want to see the last few rows in the data, you can use the tail() function like this: tail(mydata)or :tail(mydata, 10.

The tail can be very useful when you have read in data right from an external source because it helps you see if something got garbled or if there is some footnote row that you failed to notice.

Another R programming help that we can give you is if you want to immediately see just how your certain R project should be structured, you can simply use str() function: str(mydata).

This will certainly tell you the certain type of object that you have and in the case of the data frame, it will help you know just how many rows and columns it contains, along with the possible type of data included in every column and as well as the 1st few entries that you can find in each possible column