Repeated measures analysis with 2 predictors

I have data on measurements Y in 2 types of vegetation in ~20 days with 5 repetitions in each vegetation type. I need to do repeated measure analysis.

I organized the data in the table with columns:

Datenum, Vegetation, No of repetition, Y.

When I do:

rm = fitrm(data,'R ~ Datenum*Vegetation');

ranovatbl = ranova(rm);

I get an apparently wrong table:

SumSq DF MeanSq F pValue pValueGG pValueHF pValueLB

_____ __ ______ ___ ______ ________ ________ ________

(Intercept):Time 0 0 NaN NaN NaN NaN NaN NaN

Vegetation:Time 0 0 NaN NaN NaN NaN NaN NaN

Datenum:Time 0 0 NaN NaN NaN NaN NaN NaN

Vegetation:Datenum:Time 0 0 NaN NaN NaN NaN NaN NaN

Error(Time) 0 0 NaN NaN 0.5 0.5 0.5 0.5

What is the error? Should I add 'WithinDesign' parameter? Which one? When writing 'WithinDesign', data.Datenum it gives the error:

Specified design has 152 points; 1 required.

Thanks

[the cyclist]

It would be vastly easier to help you debug this if you upload the data. You can use the paper clip icon in the INSERT section of the toolbar.

[Fyodor Tatarinov]

Original data are in the Sheet1 of attachment. Finally I reorganized the data as in Sheet3 making dates as columns and excluding all rows and columns with missing values. In such configuration it worked