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
0
votes
1 answer
How do I format tibbles?
I'd like to make a table that looks like this
I have tibbles with each of the data points, but they're not combined.
library('dplyr')
library('ISLR')
data(Hitters)
Hitters <- na.omit(Hitters)
Q <- Hitters %>% group_by(League) %>%
…
Sebastian
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Create 24 columns and a dummy if timespan overlaps with hour
I have a "start" and "end" timestamp.
df <- structure(list(Vagt_Start = structure(c(1535412600, 1531006200,
1518823800, 1535671800, 1531092600, 1527550200, 1535499000, 1530919800,
…
xhr489
- 1,957
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- 39
0
votes
1 answer
What are my options when dealing with very large tibbles?
I am doing some pre-processing on on data from multiple sources (multiple large CSV's, above 500mb), applying some transformations and ending up with a final tibble dataset whcih has all the data that I need in a tidy "format." At the end of that…
Jean_N
- 489
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- 19
0
votes
1 answer
Multiply tibbles elementwise
I have two tibbles (equal number of rows and columns) like this:
first <- tibble::tribble(
~date, ~col1, ~col2,
"2000-01-01", 8.2, 10.10,
"2000-01-02", 3.2, 20.30,
"2000-01-03", 2.3, …
user8934968
0
votes
1 answer
I would like to use dplyr::mutate than plyr::ddply function in pipeline processing
I would like to do the same what I have done here by mutate function not by ddplyr one. Is it possible to perform not vectorized operation here somehow?
test <- tibble::tibble(
x = c(1,2,3),
y = c(0.5,1,1.5)
)
d <- c(1.23, 0.99, 2.18)
test %>%…
koralgooll
- 392
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- 12
0
votes
1 answer
Is there an helper function to make this code cleaner on tibble?
I need to sum sequences generated by one of column. I have done it in that way:
test <- tibble::tibble(
x = c(1,2,3)
)
test %>% dplyr::mutate(., s = plyr::aaply(x, .margins = 1, .fun = function(x_i){sum(seq(x_i))}))
Is there a cleaner way to do…
koralgooll
- 392
- 1
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- 12
0
votes
1 answer
R: How to name columns in get_acs from tidycensus?
When I run
age <- get_acs(geography="tract",table="B01001",state="IL")
I get the following error:
Getting data from the 2012-2016 5-year ACS
Loading ACS5 variables for 2016 from table B01001. To cache this dataset for faster access to ACS tables in…
theresawalrus
- 347
- 2
- 19
0
votes
1 answer
Row subsets of `Tibble` loses custom s3 class
If I extract a row from a dataframe, my custom s3 class stays:
test_df = iris
class(test_df) <- c("test_class", class(test_df))
class(test_df[1,])
[1] "test_class" "data.frame"
But this does not work for tibbles:
test_df <-…
astrofunkswag
- 2,608
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0
votes
1 answer
In R, trying to convert a ragged CSV into data.frame of Value, list
I have an input file like:
1A10, 77002, 77003, 77010, 77020
1A20, 77002, 77006, 77007, 77019
1A30, 77006, 77019, 77098
1A40, 77007, 77019, 77027, 77098
1A50, 77005, 77007, 77019, 77024, 77027, 77046, 77081, 77098, 77401
etc....
I want to create a…
AlanJackson
- 21
- 3
0
votes
1 answer
Passing a column name containing spaces to filter_() inside a custom function
can anyone show me how to get such a function working:
library(tidyverse)
## Testing Data:
dat <- tibble(without_space=rep(c(0,1),5), `with space`=rep(c(1,0),5))
## Some custom function containing filter:
custom_filter <- function(data, column,…
Florian
- 147
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- 7
0
votes
1 answer
converting json to data frame in R
I realize there are several questions on Stack Overflow that ask something similar to this already, but I cannot seem to apply them to my specific problem. I'm trying to convert the following json formatted data to a data frame. This data is from…
user8229029
- 883
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1 answer
How to create a tibble with repeated and unrepeated measures of several variables in r?
I would like to create a tibble with a mix of repeated and unrepeated measures of variables along with the dates when they were measured;
3 variables (var1, var2, var3) that were measured 16 times during the months of April, May, June at irregular…
Mleinss
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- 5
0
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0 answers
Strange output from a a multiple condition case_when
I am using a case_when to run through a set of p.values and slopes to produce text describing the output. This thought approach has worked for me in the past, but now I am seeing some text output that is flat wrong. In the small example below you…
kray
- 377
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0
votes
1 answer
How can I add rows into a single row?
I have a tibble:
# A tibble: 10 x 2
term sumsq
1 a1 10.1
2 a2 5.15
3 a3 45.1
4 a4 7.32
5 a1:a2 0.870
6 a1:a3 …
maximusdooku
- 5,242
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0
votes
1 answer
R - mutate columns with different formats
I'm trying to do analysis from multiple csv files, and in order to create a key that can be used for left_join I think that I need to try and merge two columns. At present I'm trying to use the tidyverse packages (inc. mutate), but I'm running into…
arnold-c
- 337
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