tibble could refer to an R class (tbl_df class), which is an improved data frame with stricter checking and better formatting. tibble could also refer to an R package providing functions to create and manipulate a tibble.
Questions tagged [tibble]
1309 questions
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Error reading tibbles into the mi package with missing_data.frame command
I have encountered unexpected behaviour (at least, unexpected by me) when working with the brilliant mi package, for missing data imputation, and tibbles.
Let's assume a tibble called B. The offending command is :-
A <- missing_data.frame(B)
The…
astaines
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2 answers
How to write a function with same interface as dplyr::filter but which is doing something different
I would like to implement a function which has the same interface as the filter method in dplyr but instead of removing the rows not matching to a condition would, for instance, return an array with an indicator variable, or attach such column to…
witek
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Break apart uneven list into dataframes to use in ggplot2
I have a huge list of various tibbles that I outputted from running a for loop. The tibbles in this list are the result of using count() and group_by_(), and show the number of people by category a who do and do not work at various facilities, but…
jryan14ify
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Return a string by reference from tbl_df of numerics in R
I have a tbl_df (tibble) named 'control.scores' that has a column called "Overall", which is some value between 1.00 and 4.00.
# A tibble: 2 x 8
group GOV CORC TMSC AUDIT PPS TRAIN Overall
…
Zach
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R: get dataframe row with specific characters
I need to detect rows of a df/tibble containing a specific sequence of characters.
seq <- "RT @AventusSystems" is my sequence
df <- structure(list(text = c("@AventusSystems Wow, what a upgrade from help of investor",
"RT @AventusSystems: A recent…
gabx
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How to combine tibbles with common but non-identical columns?
I have two tibbles, each with up to 4 columns. Each column name will either be common to both or missing from one or the other. I need to combine these into one tibble with two rows, and NA in columns where they are missing. I need to do this…
cdmh
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1 answer
add_row with group_by nest tibble
I am trying to add_row() to grouped data without using do.
library(dplyr)
library(tidyr)
library(purrr)
library(tibble)
my.data <- data.frame(
supplier = c("a","a","a","a","a","a","b","b","b","b","b","b"),
date =…
iboboboru
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tibble table display issue when using R in jupyter notebook
I just started using R in Jupyter notebook. There seems to be some issue displaying tibble table.
for example,
mtcars
Everything is normal.
If mtcars is converted to tibble,
car<-as_data_frame(mtcars)
car
The table displayed is totally…
zesla
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Distinct creating keep_all column when dtplyr loaded
When I use distinct() with dtplyr, my data table is transformed into a tibble with a new column ".keep_all". I updated all the packages I'm using by running install.packages() and then update.packages(), just for good measure. I also updated…
DataSmith
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1 answer
Subset tibble based on column sums, while retaining character columns
I have a feeling this is a pretty stupid issue, but I haven't been able to find the solution either
I have a tibble where each row is a sample and the first column is a character variable containing the sample ID and all subsequent columns are…
willowsblade
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2 answers
Issues trying to subset a tibble
This one should be an easy one but I cant figure out what I'm doing wrong. Probably something stupid... Sigh...
SO here it goes, i have a large tibble from which I am trying to remove some observations. I have an index logical vector that I want to…
Mario Reyes
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1 answer
Strange behavior while counting NAs, NANs and Inf's
I wrote a small function that would count the number of NA, NaN an Inf in a tibble data frame as follows:
check.for.missing.values <- function(df) {
return( sum(is.na(as.matrix(df)) & !is.nan(as.matrix(df))) + #NAs
…
Mario Reyes
- 385
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1 answer
Managing multiple models and run times in R
I'm building dozens of predictive models in an effort to identify a champion model. I'm working with gigabytes of data, so tracking run time is important.
I'd like to build all my models in a list-type format, so I don't have to manage all the…
kputschko
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How to apply a "complicated" user defined function on each element of a tibble
I have searched high and low for the answer to this (seemingly simple) problem, but came up empty so I hope someone can help me or point me in the right direction.
I have a fairly complicated submodel that I want to apply to a dataset, but if I…
Sylvain
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votes
1 answer
Performing a row by row chisq test on a data frame and capturing the result as a tibble
I have a data frame similar to this:
df1 <- data.frame(c(31,3447,12,1966,39,3275),
c(20,3460,10,1968,30,3284),
c(334,3146,212,1766,338,2976),
c(36,3442,35,1943,47,3267),
…
cityofwisdom
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