How to solve the problem – installation of package had non-zero exit status? I have the sample detail: install.packages('FILE_PATH', repos=NULL, type = "source") While I was running it, I found the warning message: Installing package ...
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I get an error grouping factor must have exactly 2 levels when trying to conduct a simple t-test (I have imported and attached the dataset). How to fix the grouping factor must have exactly 2 levels error? Please ...
I get the error: error in ogrlistlayers(dsn = dsn) : cannot open data source when I try to run the program below: wmap <- readOGR(dsn="~/R/funwithR/data/ne_110m_land", layer="ne_110m_land") ne_110m_land.dbf ne_110m_land.prj ne_110m_land.shp ne_110m_land.shx ne_110m_land.VERSION.txt ne_110m_land.README.html The error appears ...
Hi developer experts, I have a small but frustrating use case, and so far, I couldn’t get my head around this problem & ideal solution. I am running my command and facing one problem with the error in neurons[[i]] %*% ...
As advised, I used some code samples in another forum, but it could not improve the problem. My question is the “error in meem(object, conlin, control$niterem) : singularity in backsolve at level 0, block 1” in r – How to ...
I get the error message: Error in `colnames<-`(`*tmp*`, value = c("SPY.Open", "SPY.High", "SPY.Low", : attempt to set 'colnames' on an object with less than two dimensions # creating the column names Has anyone ever faced this ...
I am working on r, but I found the following warning message: stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this. Is there any way to stabilize the issue “`stat_bin()` using `bins = 30`. pick ...
I don’t know what I’m doing wrong, but I’ve already lost a couple of days struggling with this. Here is my command line: data(iris) library(reshape2) molten.iris <- melt(iris,id.var="Species") summary(molten.iris) str(molten.iris) #------------------------------------------------------------ # Both return warning: ...
I’m building a new program, but when I run it, an error pops up. The error displayed is as follows: Error: cannot coerce type 'closure' to vector of type 'character' I have tried several workarounds, but they still ...
I am working on r, but I found the following warning message: In predict.lm(y[[i]], C2[[i]]) : prediction from a rank-deficient fit may be misleading Is there any way to stabilize the issue “prediction from a rank-deficient fit may be ...