summary_ch(RMark)
summary_ch()所属R语言包：RMark
Provides a summary for the capture histories
提供的摘要捕获的历史记录
译者：生物统计家园网 机器人LoveR
描述----------Description----------
For each release (initial capture) cohort, the number of recaptured (resighted) individuals from that cohort is tallied for each of the following occasions. A summary table with number released (initially caught) and the number recaptured is given for each group if bygroup=TRUE.
对于每个版本（初始捕获）队列，从该队列夺回（resighted）的个人符合以下场合。释放（最初引起）和数字夺回如果bygroup=TRUE各组汇总表。
用法----------Usage----------
summary_ch(x, bygroup = TRUE, marray = FALSE)
参数----------Arguments----------
参数：x
Processed data list; resulting value from process.data
处理过的数据列表，得到的值从process.data
参数：bygroup
if TRUE, summary tables are created for each group defined in the data
如果为TRUE，创建每个组中定义的数据汇总表
参数：marray
if TRUE, summary tables are m-arrays as in MARK
如果为TRUE，汇总表阵列在MARK的M-
值----------Value----------
list of dataframes (one for each group in the data); each dataframe has rows for each release cohort and columns for each recapture occasion. The rows and columns are labelled with the occasion time labels. If marray==FALSE the first column is the number initially released and the remaining columns (one for each recapture/resighting occasion) are the number recaught in each of the following occasions and the number caught in at least one of the occasions. If marray==TRUE the first column is the number released which includes those initially released and ones released after recapture from a previous cohort. The remaining columns are the number first recaught in each of the following occasions. Once re-caught they become one of the following rows (ie release-recap pairs) unless it is the last time they were captured and they were not released (eg negative frequency).
列表的dataframes各组的数据，每个数据框行的每一个版本的队列和列每个夺回场合。的行和列被标记为与之际的时间标签。如果marray==FALSE的第一列的数目是初步解除与其它列（一个用于每个夺回/ resighting的场合），在以下场合中，每个数recaught和捕获的数目中的至少一个的场合中。如果marray==TRUE的第一列是公布的数字，其中包括那些最初发布盗号木马后重新夺回从以前的队列。剩余的列数第一recaught在以下场合。一旦重新捕获他们成为一个的以下行（即释放回顾一下对），除非它是最后一次，他们被抓获，他们没有被释放（例如，负频率）。
（作者）----------Author(s)----------
Jeff Laake
实例----------Examples----------
data(dipper)
dipper.processed=process.data(dipper,groups=("sex"))
summary_ch(dipper.processed)
#$sexFemale[$ sexFemale]
# Released 2 3 4 5 6 7 Total[2 3 4 5 6 7 8共发布]
#1 10 5 3 3 2 1 0 6[1 10 5 3 3 2 1 0 6]
#2 29 0 11 6 6 4 2 11[2月29日0 11 6 6 4 2 11]
#3 27 0 0 9 5 3 2 9[3月27日0 0 9 5 3 2 9]
#4 23 0 0 0 11 7 4 13[4月23日0 0 0 11 7 4 13]
#5 19 0 0 0 0 12 6 12[5月19日0 0 0 0 12 6 12]
#6 23 0 0 0 0 0 11 11[6 23 0 0 0 0 0 11 11]
#[]
#$sexMale[$ sexMale]
# Released 2 3 4 5 6 7 Total[2 3 4 5 6 7 8共发布]
#1 12 6 3 2 1 1 0 7[1 12 6 3 2 1 1 0 7]
#2 20 0 9 2 1 0 0 9[2 20 0 9 2 1 0 0 9]
#3 25 0 0 13 6 2 0 14[3月25日0 0 13 6 2 0 14]
#4 22 0 0 0 15 9 7 16[4月22日0 0 0 15 9 7 16]
#5 22 0 0 0 0 13 10 13[5 22 0 0 0 0 13 10 13]
#6 23 0 0 0 0 0 12 12[6 23 0 0 0 0 0 12 12]
summary_ch(dipper.processed,marray=TRUE)
#$sexFemale[$ sexFemale]
# Released 2 3 4 5 6 7 Total[2 3 4 5 6 7 8共发布]
#1 10 5 1 0 0 0 0 6[1 10 5 1 0 0 0 0 6]
#2 34 0 13 1 0 0 0 14[2 34 0 13 1 0 0 0 14]
#3 41 0 0 17 1 0 0 18[3 41 0 0 17 1 0 0 18]
#4 41 0 0 0 23 1 1 25[4 41 0 0 0 23 1 1 25]
#5 43 0 0 0 0 26 0 26[5 43 0 0 0 0 26 0 26]
#6 50 0 0 0 0 0 24 24[6 50 0 0 0 0 0 24 24]
#[]
#$sexMale[$ sexMale]
# Released 2 3 4 5 6 7 Total[2 3 4 5 6 7 8共发布]
#1 12 6 1 0 0 0 0 7[1 12 6 1 0 0 0 0 7]
#2 26 0 11 0 0 0 0 11[2 26 0 11 0 0 0 0 11]
#3 37 0 0 17 1 0 0 18[3 37 0 0 17 1 0 0 18]
#4 39 0 0 0 22 0 1 23[4 39 0 0 0 22 0 1 23]
#5 45 0 0 0 0 25 0 25[5 45 0 0 0 0 25 0 25]
#6 48 0 0 0 0 0 28 28[6 48 0 0 0 0 0 28 28]
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-9-26 23:48:33
