![]() ![]() #> The following objects are masked from 'package:stats': My advice is to have a good look at the data before applying the software. However the regression still fails because the date variable is not numeric (and in this dataset only one-valued). Then the creation of data works without errors/warnings. I changed the call for the nvert function with the data you provided in your last question. When the mutate is not done correctly how reliable would be the succeeding regression? The first error/warning you get is often the most important. Of course we can find it, but more help from you leads to more help from us. If you refer to an earlier question, please provide a link to that question. 'as.is' should be specified by the caller using TRUEĪny idea on what could be wrong? I did not expect to have this error again so this is quite confusing. When executing the mutate command I get these warning repeated 18 times:ġ: In (x]. ![]() I previously used the mutate command to eliminate the issue of the non-valid NAs, but now apparently that error has come back despite the fact that the ANOVAs are still working. In storage.mode(v) <- "double" : NAs introduced by coercion Mutate(across(where(is.character), ~na_if(., "NA"))) %>%ĭ <- lm(Date ~ WaterPot_Dawn, data=data)Įrror in lm.fit(x, y, offset = offset, singular.ok = singular.ok. Library(tidyverse) #Needed for all %>% in the code ![]() I got a lot of help and managed to solve it, but now I am experiencing another issue when performing a simple linear regression with the same set of data. I made a post recently about having some issues when performing one way ANOVAs. ![]()
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