This question was also made in https://stackoverflow.com/questions/65290436/error-pvclust-package-error-in-hclustdistance-method-method-hclust-must
Question: Could you help me resolve the following error: Error in hclust(distance, method = method.hclust) : must have n >= 2 objects to cluster I'm trying to use the `pvclust` package, but I'm not able to generate the dendogram. If I use all data from the df database, I can generate it, but as I am restricting only to the coordinates (Latitude and Longitude), it is not working, it gives the error that I mentioned. Below, I entered an executable code. Thank you so much! ###USING PVCLUST library(rdist) library(pvclust) library(geosphere) df <- structure( list(Industries = c(1,2,3,4,5,6,7), Latitude = c(-24.779225, -24.789635, -24.763461, -24.794394, -24.747102,-24.781307,-24.761081), Longitude = c(-49.934816, -49.922324, -49.911616, -49.906262, -49.890796,-49.8875254,-49.8875254), Waste = c(526, 350, 526, 469, 285, 433, 456)),class = "data.frame", row.names = c(NA, -7L)) mat <- as.data.frame.matrix(df) mat <- t(mat) fit <- pvclust(mat, method.hclust="average", method.dist="euclidean") fit plot(fit) pvrect(fit) # RESTRICTING ONLY TO COORDINATES coordinates<-subset(df,select=c("Latitude","Longitude")) mat <- as.data.frame.matrix(coordinates) mat <- t(mat) fit <- pvclust(mat, method.hclust="average", method.dist="euclidean") > fit <- pvclust(mat, method.hclust="average", method.dist="euclidean") Bootstrap (r = 0.5)... Error in hclust(distance, method = method.hclust) : must have n >= 2 objects to cluster***** [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&> Remetente notificado por Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=signaturevirality5&> 14/12/20 19:37:37 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.