I have been given an excel file extracted from an SQL database which means the numerical fields are presented as 12345,67 .
I import the file in R 3.2.5
using library(readxl)
and it correctly displays the numerical field as 12345.67.
I set the comma as decimal separator in the options for I need the reports to be printed in that format.
However, I can't find away to set "." dot, as thousands separator.
I have tried format
and formatc
which results in
"Warning message:
NAs introduced by coercion"
error. format and formatc results in string not numeric format.
Please use this mock data frame for reproducible research.
variable=c("a","b","c","d","e","f","g","h","i","j")
value=c(0.00,196036.95,196036.95, 10244.29,90470.73,33926.53,37142.59,6.65,15.40,180941.47)
df=data.frame(variable, value)
#View the data frame
print(df)
#a quick bar plot
plot=ggplot(data=df, aes(x=variable, y=value)) + geom_bar(stat="identity")
plot
#set comma as decimal point. We need dot as thousands separator.
options(OutDec= ",")
print(df) # here the numbers are correctly presented as extracted from the SQL database
plot
Format and formatc results when turning the result into numeric:
as.numeric(format(df$value, big.mark = "."))
[1] NA NA NA NA NA NA NA NA NA NA
Warning message:
NAs introduced by coercion
I need the final results to be reported in this format but in numeric so i can generate plots and tables:
format(df$value, big.mark = ".")
[1] " 0,00" "196.036,95" "196.036,95" " 10.244,29" " 90.470,73" " 33.926,53" " 37.142,59" " 6,65" " 15,40" "180.941,47"
EDIT: My sessionInfo()
R version 3.2.5 (2016-04-14)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
locale:
[1] LC_COLLATE=Greek_Greece.1253 LC_CTYPE=Greek_Greece.1253 LC_MONETARY=Greek_Greece.1253 LC_NUMERIC=C LC_TIME=Greek_Greece.1253
attached base packages:
[1] grid stats graphics grDevices utils datasets methods base
other attached packages:
[1] pander_0.6.0 scales_0.4.1 forcats_0.2.0 png_0.1-7 gtable_0.2.0 cowplot_0.6.3 ggpubr_0.1.0 zoo_1.8-0 gtools_3.5.0 reshape2_1.4.2
[11] gridExtra_2.3 gridBase_0.4-7 ggplot2_2.2.1 readxl_0.1.1
loaded via a namespace (and not attached):
[1] Rcpp_0.12.10 magrittr_1.5 munsell_0.4.3 colorspace_1.3-2 lattice_0.20-33 stringr_1.2.0 plyr_1.8.4 tools_3.2.5 yaml_2.1.14
[10] lazyeval_0.2.0 digest_0.6.12 tibble_1.3.0 labeling_0.3 stringi_1.1.5