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a <- jsonlite::fromJSON("raw_data/countries.json") | |
DT <- data.table::rbindlist(a) |
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usethis::edit_r_profile() |
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seq(as.Date("2010-02-01"), length=24, by="1 month") - 1 |
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sudo su - -c "R -e \"install.packages('dplyr', repos='http://cran.rstudio.com/')\"" |
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dplyr does not include commands to insert or update records in a database, so there is not a complete native dplyr solution for this. But you could combine dplyr with regular SQL statements to avoid bringing the data to R. | |
Let's start by reproducing your steps before the collect() statement | |
library(dplyr) | |
pg <- src_postgres() | |
reg_data <- tbl(pg, "reg_data") |
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options(error = function() { | |
subject.msg <- paste0("Error Subject, ", format(Sys.time(), "%A %d %B %Y %X")) | |
from <- "sender@mail" | |
body <- geterrmessage() | |
mailControl = list(smtpServer = "mail.server.com", smtpPort = "25") | |
sendmail(from = from, | |
to = c("[email protected]","[email protected]"), | |
subject = subject.msg, | |
msg = body, |
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transform(df, index = as.Date(index, frac = 1)) |
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bind_rows(list_of_dataframes, .id = "column_label") |
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myfunction<- function(values, index){ | |
cat("Adding values (", index, "): ", values[1], "...", values[2], " = ", sum(values), "\n" ) | |
invisible(values[1] + values[2]) | |
} | |
mylist <- list(c(5, 4), c(3, 2), c(1, 3)) | |
mapply(myfunction, mylist, seq_along(mylist)) |
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grep("^name$", colnames(df)) |