splitapply with @num2str

I need to figure out how to set the precision of all numbers of a column in a table to 0.0 (i.e I have a value 34 that needs to output as 34.0). My professor has suggested using num2str is easier that sprintf for this matter. We have been learning about splitapply, so I thought maybe he intends for us to use that here. The table is from an excel file that I read in. Ergo, I have the following code:

table1 = table(Verb, meanEstimates);

meanEstimates = splitapply(@num2str, meanEstimates, '.1d');

I get the follow error message "Group numbers must be a vector of postitive integers, and cannot be a sparse vector."

In all honesty I don't really know what I'm doing because it's been hard to learn online this quarter.

[madhan ravi]

It would be better if you share a short example values to experiment ;)

[Kayla Black]

Ah okay, sorry, I never posted on here before so idk what I'm doing or maybe how to help you help me, but here's the table I'm working with. I just need to change 34 to 34.0 without hardcoding. Let me know if there's any more info you need from me.

Answer 1

[madhan ravi]

vpa(table1pretty{:,2},digits(5))

[madhan ravi]

table1pretty.("mean speed estimate") = compose("%.1f", table1pretty.("mean speed estimate"))

[Kayla Black]

You helped me so much! I appreciate this, especially during a time of online learning I can use all the help I can get.

[madhan ravi]

I feel it too, been there done that. Best of luck!