Let me ask this question directly to discuss the cause. The more common reason is the fact that I would often have to explain R to those who are only familiar with SPSS. I know the basics of SPSS, because we still use it in base course statistics. But as I am more than an R-man, it is difficult to know how SPSS users experience the first meeting with R.
I know that there is a book and there is already some information in it , I would like to know that when you switch from SPSS to R, there are more difficult parts
or in other words: If you have to be considered as SPSS users in a day, then Poison If you focus on? This is not a hypothetical question like no (Yes, I know, it is not so because one is paid for it that it always makes sense ...). First of all, data manipulation is going to be the most challenging thing to know about coming from SPSS / SAS to R from the RS.
. I have found, in person, receiving data is usually more difficult than analyzing in the right size for an analysis. Second, the correct understanding of how to deal with the obvious values through the use of factors. Finally, summary statistics and descriptiveness can sometimes be challenging to get in a transmittable format for PPT or Excel, which (my) clients normally expect / demand for reporting.
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1 data manipulation
Understanding the data structure Import Export. Then train deeply on the use of packages like Palayer, especially focus on how to use the cast and focus on melting with the ID. Data using ddplay How to apply the numeric function inside the frame
2 Factoring data
Normally, an explanation of handling the recording with an epic or user-defined function. An explanation of the importance of factors, levels and labels
3 details
xtabs (), table (), use a few minutes to use the proptable () Excel By making a new shape to create column columns of more properly exported data,
Graphics are optional, if you have done a good job above, then they get that data Should be able to, in whatever soft The most comfortable Eyr, there is need to create charts.
4 graphics
If you did a good job teaching the data manipulation, then getting the data in the required size for the graphing is very simple at this point (or at least the copy Presentable) Ggplot2 is complex and one day it is necessary to play with itself. But it is possible to give a quick overview of it. Alternatively, base graphics are easy to understand and what is more clear on what works and how syntax works.
Note: I left statistical analysis. However, an overview of LM () and possibly ANOVA (), or core (), would be useful as the starting point. But it should be explained at the same time as the data.
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