'Scuse me, but I don't see anything in your example relating to what the OP
asked for. She wanted to get at the ``actual data defining the histogram'', which I interpret as meaning the bar heights (the percentages, density values, or counts, depending on "type"). These do not appeared to be stored in the object returned
by histogram().

cheers,

Rolf Turner

On 01/09/11 10:59, Duncan Mackay wrote:
Hi Monica

An example abbreviated from ?histogram

x = histogram( ~ height, data = singer)

names(x)
# to see what is there
str(x)

# information
x$panel.args.common
$breaks
[1] 59.36 61.28 63.20 65.12 67.04 68.96 70.88 72.80 74.72 76.64

$type
[1] "percent"

$equal.widths
[1] TRUE

$nint
[1] 9

# x$panel.args: name as number
x[[35]]
[[1]]
[[1]]$x
[1] 64 62 66 65 60 61 65 66 65 63 67 65 62 65 68 65 63 65 62 65 66 62 65 63 65 66 65 62 65 66 65 61 65 66 65 62 63 67 60 67 66 62 65 62 [45] 61 62 66 60 65 65 61 64 68 64 63 62 64 62 64 65 60 65 70 63 67 66 65 62 68 67 67 63 67 66 63 72 62 61 66 64 60 61 66 66 66 62 70 65 [89] 64 63 65 69 61 66 65 61 63 64 67 66 68 70 65 65 65 64 66 64 70 63 70 64 63 67 65 63 66 66 64 64 70 70 66 66 66 69 67 65 69 72 71 66 [133] 76 74 71 66 68 67 70 65 72 70 68 64 73 66 68 67 64 68 73 69 71 69 76 71 69 71 66 69 71 71 71 69 70 69 68 70 68 69 72 70 72 69 73 71 [177] 72 68 68 71 66 68 71 73 73 70 68 70 75 68 71 70 74 70 75 75 69 72 71 70 71 68 70 75 72 66 72 70 69 72 75 67 75 74 72 72 74 72 72 74
[221] 70 66 68 75 68 70 72 67 70 70 69 72 71 74 75

etc to suite your requirements

HTH

Regards

Duncan


Duncan Mackay
Department of Agronomy and Soil Science
University of New England
ARMIDALE NSW 2351
Email: home mac...@northnet.com.au



At 23:50 31/08/2011, you wrote:



Hi,



I have a relatively big dataset and I want to construct
some histograms using the histogram function in lattice. One thing I am
interested in is to look at differences between density and percent. I know I can use the hist function but it seems that this function gives sometimes some wrong answers and the density is actually a percent since it is calculated as counts in the bin divided by the total no. of points. Let me explain.



If I let the hist function to decide the breaks, or I use
a small number, or one of the pre-determined methods to select breaks then everything seems to be in order. But if I decide to use ­ for example ­ 100 as
a breaks (I have over 90000 data points so the number of breaks is not
necessarily too large I would think) the density for the first bin is over 1, although for all the other breaks the density is actually a percent since it is the count for that bin divided by the total no. of points I have. So …. Here it
is something wrong or most probably I am doing something wrong.



If I use the function histogram from lattice it is
obvious that there is a difference between the percent param and the density param. I looked at the function code and I didn't understand it ­ to be honest. It seems it calls inside the hist function, or a slightly modify variant of hist. Reading about the object trellis I saw I can access different info about
the graph it generates but nothing about the actual data that goes into
defining the histogram. How can I access the data from it?



I am not sure if my problem is platform specific ­ it should
not be ­ but I have Rx64 2.13.1 on windows machine, in case it counts.



I appreciate your help, thanks,



Monica


______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to