Your data analysis solution
Name is required.
Email address is required.
Invalid email address
Answer is required.
Exceeding max length of 5KB

Data transformaion

By Oleksandra Shumilova | Oct 20, 2017 05:42PM CEST

Dear All,
I have a question regarding data transformation for further multivariative analysis.

I would like to do a RDA analysis to check how environmental variables affect water quality. Before analysis I checked the data and found that some data are very skewed and in order to make data achieve normality and homogenity of variance different kinds of data-transformation are suitable (e.g. in some case log-transformation, while in another - square root transfromation). I would like to ask whether it is possible to apply such different kinds of transformation for data and then use in RDA? Or the same transformations (if applied) should be applied for all data? Are there any references for this?

I will be very thankful for your reply. Thanks in advance!

Best wishes,
Oleksandra

Up

0

Down

By Sébastien | Oct 20, 2017 05:55PM CEST | XLSTAT Agent

Hi Oleksandra,

I think these transformations are relevant and essential for the X data matrix, but less for the Y data matrix, which is basically a contingency table.

Best of luck

Jean Paul

Post Your Public Answer

Contact Us

1c26995d494fb3061dd0ae8571ffc0a4@xlstat.desk-mail.com
https://cdn.desk.com/
false
desk
Loading
seconds ago
a minute ago
minutes ago
an hour ago
hours ago
a day ago
days ago
about
false
Invalid characters found
/customer/portal/articles/autocomplete
9283