aov and missing values
"Pedro J. Aphalo" <pedro.aphalo at joensuu.fi> writes:
I am learning R, and although I have looked in the documentation, I may be asking something obvious. Sorry, if that is the case. In a split-plot design if there is a missing subunit summary gives me a table with two rows for the same factor, one in the error within section and one in the section using error between units. With no data missing the table is "normal". How does one interpret the table when data is missing?, or is it that aov cannot cope with missing values in this case? Thanks in advance for any help. Pedro. The model I am using is of the form "y ~ A * B * C + block + Error(A/B)", I tried the simpler model "y ~ A * B + block + Error(A)" with the same result.
As a general matter, the theory for these designs is based on having balanced data. The analysis with aov is based on an orthogonal decompostion according to the error terms, which in the balanced case means splitting into averages and differences of the values within a plot. If each plot has received the same treatments, then there is no information in the averages of the effect of treatment (and therefore it does not appear in the between-unit stratum), but there will be if the plots have received different sets of treatment. This will be the case if some plots have missing values, but not only that: The error model also becomes dubious (it essentially implies that averages have the same variance no matter how many observations they are averages of).
O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._