I'm analyzing my data and since no statistical analysis software is perfect, I was wondering if it's possible to use more than one statistical analysis softwares to analyze the data and consequently to report theses analysis in the research paper.
There should be no problem in using more statistical softwares. Research papers and other scientific studies are often based on a combination of multiple analytical methods that could not be realized in one software - for example, some SPSS analyzes, and others using ArcGIS statistical and mapping tools.
Unless you need a different program to supply a new kind of analysis, there is really no point in performing the same analyses in two different programs. All the programs are based on the same underlying formulas, and they have all been assessed for a high degree of accuracy.
More to the point, if you try to publish an article where you have used two different programs to perform the same analysis, your reviewers are almost certain to question your competence.
I agree with professor Morgan, there is no point in making the same analysis in different programs. However I do not think that this is what your question is about. If you for example use Excel for some of your analysis and EpiInfo for some others, this should be perfectly ok. Just remember to tell about what you have done in the methods section. Maybe a reviewer will ask why you have done this but there is nothing really wrong with it.
There is no problem for sure using more than one statistical analysis software provided different types of analyses are conducted. conducting same statistical analysis by using different software doesn't add any value
if your purpose is to compare the performance of different software, you can do it. Otherwise, what is the interest of calculating correlation coefficient using excel and using R at same time?
using various tools, programs, statistical packages is not only possible, but also necessary, in particular in solving problems of data classification, this approach allows us to more clearly outline types, verify results, etc.