R programming ggvis histogram verses hist - How to size the buckets, and define X axis spacing (ticks) -

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i learning use ggvis , wanted understand how create equivalent histogram produced hist. specifically, how set bin widths , upper , lower bounds of x in ggvis histograms? missing?

question: how ggvis histogram output match hist output?

let me provide example:

require(psych) require(rcurl) require(ggvis)  if ( !exists("impact") ) {   url <- "https://dl.dropboxusercontent.com/u/8272421/stat/stat_one.txt"   mycsv <- geturl(url, ssl.verifypeer = false)   impact <- read.csv(textconnection(mycsv), sep = "\t")   impact$subject <- factor(impact$subject) }  describe(impact)  hist(impact$verbal_memory_baseline,       main = "distribution of verbal memory baseline scores",       xlab = "score", ylab = "frequency")

example output of hist

ok, lets try , reproduce ggvis... output not match...

impact %>% ggvis( x = ~verbal_memory_baseline, fill := "white") %>% layer_histograms(width = 5) %>% add_axis("x", title = "score") %>% add_axis("y", title = "frequency")

ggvis histogram output

how ggvis output match hist output?

> sessioninfo() r version 3.2.2 (2015-08-14) platform: x86_64-apple-darwin13.4.0 (64-bit) running under: os x 10.11.2 (el capitan)  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   base       other attached packages: [1] psych_1.5.6      knitr_1.11       ggvis_0.4.2.9000 setwidth_1.0-4  colorout_1.1-1   vimcom_1.2-3      loaded via namespace (and not attached): [1] rcpp_0.12.0          digest_0.6.8         dplyr_0.4.3.9000     assertthat_0.1       mime_0.3             [6] r6_2.1.1             jsonlite_0.9.16      xtable_1.7-4         dbi_0.3.1            magrittr_1.5         [11] lazyeval_0.1.10.9000 rstudioapi_0.3.1     rmarkdown_0.7        tools_3.2.2          shiny_0.12.2         [16] httpuv_1.3.3         yaml_2.1.13          parallel_3.2.2       rsconnect_0.4.1.4    mnormt_1.5-3         [21] htmltools_0.2.6

try

impact %>%   ggvis( x = ~verbal_memory_baseline, fill := "white") %>%   layer_histograms(width = 5, boundary = 5) %>%    add_axis("y", title = "frequency") %>%   add_axis("x", title = "score", ticks = 5)

which gives:

enter image description here

the official documentation bit cryptic how boundary , center works. have @ datacamp's how make histogram ggvis in r

the width argument set bin width 5, bins start , end? can use center or boundary argument this. center should refer 1 of bins’ center value, automatically determines other bins location. boundary argument specifies boundary value of 1 of bins. here again, specifying single value fixes location of bins. these 2 arguments specify same thing in different way, should set @ 1 of center or boundary.

if want same result using center instead of boundary try:

impact %>%   ggvis( x = ~verbal_memory_baseline, fill := "white") %>%   layer_histograms(width = 5, center = 77.5) %>%    add_axis("y", title = "frequency") %>%   add_axis("x", title = "score", ticks = 5)

here specify center of bin (77.5) , determines others automatically


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