So you should use write.csv, but first you have to determine what part(s) of the result you need to export, see Susanne message about isolating data frames from the result and the documentation of the function you are using.

You may also use str( yourresult) to see its structure.and guess the name of the data frames you are looking for.

Hi Carl,

You should be able to do this with the following command after you declare the working directory: write.dbf(objectname, "outputfile.dbf")

You can use the "save" command to save any type of object. e.g.

save(myobject, "myfile.Rdata")

or use the "save.image" command to save all the objects in your workspace. 

Hi Carl,

Your quiz isn't very clear. Writing data in R into a file depends on the nature of your data object. For example;

1. '.csv' data can be written using 'write.csv'  in 'utils' package.

2. Data frames using 'write.table' in 'utils' or 'write.matrix' in 'MASS' package, n many more.

I hope this helps.

... also write.table ("...txt", ...)

save(object, file = "myFile.RData") usually works for me. You can even use the option compress = T for large objects...

Hi Carl, it depends what format the object is in. Text files can be created with write.table(object, file="filename.txt") and csvs with wrie.csv(object, file="filename.csv"). Search help(write.table) for all options.

For larger objects you could clear the workspace of everything except the object you want to save with rm(list=ls()[ls()!="object"]) and then save the workspace with save.image().

For an easy-to-read text format output, I recommend write.table(object, ...) as others did. But for a binary output of minimized file size, I'd recommend saveRDS(object, ...) instead of save(...), because saveRDS and readRDS allow to "write a single R object to a file, and to restore it" (R help). Definitely more convenient than the save function. Furthermore, it has an option to compress the binary data that's written to disk.

I have an object after performing TukeyHSD. Although when I try to use write functions (write.table, write.csv, or write.xsl), I get promted by an error saying "cannot coerce class 'c("TukeyHSD", "multicomp")' into a data.frame"

I have attached the output of my target object.

I think that the sink() function could be some  help:

sink ("filename") will redirect the console output to the "filename" file

sink (NULL) will stop the redirection

To test it, try the following script:

sink ("routput.txt")

ls()

sink (NULL)

ls()

Best regards

if not sink(), then extract information from the TukeyHSD object, i.e. save the result of the analysis into a variable, by erg

Carl, if you'd tell us what format you wish to export the object into, it would be much easier to give you a suitable answer. Already, many people proposed good methods to save any R object in ascii (dput, save, saveRDS) or binary (save, saveRDS with ascii=F) format. But if you want to export something similar to the (formatted) console output you showed us, Thierry's answer is, for the moment, the more appropriate way to do. So, please clarify your need.

I need an output fill either as text or csv (or xls)  so that I could perform further analysis through excel.

So you should use write.csv, but first you have to determine what part(s) of the result you need to export, see Susanne message about isolating data frames from the result and the documentation of the function you are using.

You may also use str( yourresult) to see its structure.and guess the name of the data frames you are looking for.

I see. Thank you very much

It seems that you have a list of TukeyHSD test objects. You can use the following code to create a data.frame from such a list, which can be saved as .csv:

# create a list of TukeyHSD test object from dummy data:

data.test1

For my analysis this, worked for me

ANOVA_TG