How to make tibbles display significant digits
I am working with data that has significant digits (i.e. digits after the "."). These digits appear when viewing my data both as a variable in base R, and also when the data is stored in a dataframe. However, they do not appear when I view the data in a tibble.
I need to view these significant digits for my work. Is there a way to make them appear when using tibbles?
Here is a reproducible example:
x has 5 significant digits, and 3 are displayed when using base R:
x = 1234.56789
x
[1] 1234.568
Within a data.frame, 3 significant digits are also displayed:
df = data.frame(x=x)
df
x
1 1234.568
Within a tibble, though, 0 significant digits are displayed:
library(tibble)
df = tibble(x=x)
df
# A tibble: 1 x 1
x
<dbl>
1 1235.
Again, I am looking for a way to make more than 0 significant digits appear whening viewing my data in a tibble.
Here is the result of my sessionInfo():
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6
Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] tibble_1.4.2 readr_1.1.1 choroplethr_3.6.2
[4] acs_2.1.3 XML_3.98-1.12 stringr_1.3.1
loaded via a namespace (and not attached):
[1] httr_1.3.1 maps_3.3.0 splines_3.5.1
[4] Formula_1.2-3 assertthat_0.2.0 sp_1.3-1
[7] latticeExtra_0.6-28 yaml_2.2.0 pillar_1.3.0
[10] backports_1.1.2 lattice_0.20-35 glue_1.3.0
[13] uuid_0.1-2 digest_0.6.15 RColorBrewer_1.1-2
[16] checkmate_1.8.5 colorspace_1.3-2 htmltools_0.3.6
[19] Matrix_1.2-14 plyr_1.8.4 pkgconfig_2.0.1
[22] WDI_2.5 purrr_0.2.5 scales_0.5.0
[25] jpeg_0.1-8 tigris_0.7 ggmap_2.6.1
[28] htmlTable_1.12 ggplot2_3.0.0 nnet_7.3-12
[31] lazyeval_0.2.1 cli_1.0.0 proto_1.0.0
[34] survival_2.42-6 RJSONIO_1.3-0 magrittr_1.5
[37] crayon_1.3.4 maptools_0.9-2 fansi_0.2.3
[40] foreign_0.8-71 class_7.3-14 tools_3.5.1
[43] data.table_1.11.4 hms_0.4.2 geosphere_1.5-7
[46] RgoogleMaps_1.4.2 munsell_0.5.0 cluster_2.0.7-1
[49] bindrcpp_0.2.2 compiler_3.5.1 e1071_1.7-0
[52] rlang_0.2.1 classInt_0.2-3 units_0.6-0
[55] grid_3.5.1 rstudioapi_0.7 rjson_0.2.20
[58] rappdirs_0.3.1 htmlwidgets_1.2 base64enc_0.1-3
[61] gtable_0.2.0 curl_3.2 DBI_1.0.0
[64] reshape2_1.4.3 R6_2.2.2 gridExtra_2.3
[67] knitr_1.20 dplyr_0.7.6 rgdal_1.3-3
[70] utf8_1.1.4 bindr_0.1.1 Hmisc_4.1-1
[73] stringi_1.2.4 Rcpp_0.12.18 mapproj_1.2.6
[76] sf_0.6-3 rpart_4.1-13 acepack_1.4.1
[79] png_0.1-7 spData_0.2.9.0 tidyselect_0.2.4
you can set the option pillar.sigfig
options(pillar.sigfig = 1)
as_tibble(iris)
# # A tibble: 150 x 5
# Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# <dbl> <dbl> <dbl> <dbl> <fct>
# 1 5. 4. 1. 0.2 setosa
# 2 5. 3 1. 0.2 setosa
# 3 5. 3. 1. 0.2 setosa
# 4 5. 3. 2. 0.2 setosa
# 5 5 4. 1. 0.2 setosa
# 6 5. 4. 2. 0.4 setosa
# 7 5. 3. 1. 0.3 setosa
# 8 5 3. 2. 0.2 setosa
# 9 4. 3. 1. 0.2 setosa
# 10 5. 3. 2. 0.1 setosa
options(pillar.sigfig = 7)
tb = tibble(x=x)
tb
# # A tibble: 1 x 1
# x
# <dbl>
# 1 1234.568
See also:
?`tibble-options`
or online:
https://www.rdocumentation.org/packages/tibble/versions/1.4.2/topics/tibble-options