R convert dataframe to JSON

by

The jsonlite package exists to address exactly this problem: “A practical and consistent mapping between JSON data and R objects.”

Its toJSON function provides this desired result with the default options:

library(jsonlite)
x <- toJSON(res1)
cat(x)

## [{"id":1,"value":"server1"},{"id":2,"value":"server2"},
## {"id":3,"value":"server3"},{"id":4,"value":"server4"},
## {"id":5,"value":"server5"}]

More Related Contents:

  1. Dynamically select data frame columns using $ and a character value
  2. Merging a lot of data.frames [duplicate]
  3. dplyr: nonstandard column names (white space, punctuation, starts with numbers)
  4. Remove columns with zero values from a dataframe
  5. Calculating statistics on subsets of data [duplicate]
  6. How to convert dataframe into time series?
  7. Identifying duplicate columns in a dataframe
  8. Merge unequal dataframes and replace missing rows with 0
  9. R pass variable column indices to ggplot2 [duplicate]
  10. How to access the last value in a vector?
  11. Removing display of row names from data frame
  12. Why is plyr so slow?
  13. How to delete rows from a data.frame, based on an external list, using R?
  14. How to add multiple columns to a data.frame in one go?
  15. Return a data frame from function
  16. Splitting a string into new rows in R [duplicate]
  17. Transforming a time-series into a data frame and back
  18. Converting a list of data frames into individual data frames in R [duplicate]
  19. Split a column into multiple binary dummy columns [duplicate]
  20. Combine several data frames in the global environment by row (rbind)
  21. Changing Million/Billion abbreviations into actual numbers? ie. 5.12M -> 5,120,000 [duplicate]
  22. Extract text after “/” in a data frame column
  23. What is difference between dataframe and list in R?
  24. use multiple columns as variables with sapply
  25. Merge overlapping ranges into unique groups, in dataframe
  26. Deleting specific rows from a data frame
  27. Count number of non-NA values for every column in a dataframe [duplicate]
  28. Count unique values for every column
  29. Numbers as column names of data frames
  30. Override column types when importing data using readr::read_csv() when there are many columns

Leave a Comment