Description Format Source Examples
Total numbers of salmon released (salmon.released
) and surviving
(salmon.surviving
) in 12 streams, 6 with brook trout present
and 6 with brook trout absent
. The proportion of salmon surviving
(proportion.surviving
) is given for each stream.
BrookTrout
is a data frame with 12 observations on the
following 4 variables. BrookTrout2
is a different summary of the
same study and gives survival rates for chinook in different years.
a factor with levels absent
and
present
indicating whether brook trout are absent or present in the
stream
a numeric vector of the total number of salmon released
a numeric vector of the number of salmon surviving
a numeric vector of the proportion of salmon surviving
Levin, P.S., S. Achord, B.E. Fiest, and R.W. Zabel. 2002. Non-indigenous brook trout and the demise of Pacific salmon: a forgotten threat? Proceedings of the Royal Society of London, Series B, Biological Sciences 269: 1663-1670.
1 2 3 4 5 6 7 | str(BrookTrout)
str(BrookTrout2)
bwplot(proportion.surviving ~ trout, BrookTrout)
aggregate(proportion.surviving ~ trout, BrookTrout, FUN = favstats)
summary(proportion.surviving ~ trout, BrookTrout, fun = favstats)
|
Loading required package: nlme
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Attaching package: 'ggstance'
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learnr::run_tutorial("introduction", package = "ggformula")
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Loading required package: mosaicData
Loading required package: Matrix
The 'mosaic' package masks several functions from core packages in order to add
additional features. The original behavior of these functions should not be affected by this.
Note: If you use the Matrix package, be sure to load it BEFORE loading mosaic.
Attaching package: 'mosaic'
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quantile, sd, t.test, var
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'data.frame': 12 obs. of 4 variables:
$ trout : Factor w/ 2 levels "absent","present": 2 1 2 2 1 2 1 2 1 1 ...
$ salmon.survived : int 166 180 136 153 178 103 326 173 7 120 ...
$ salmon.released : int 820 467 960 700 959 545 1029 769 27 998 ...
$ proportion.surviving: num 0.202 0.385 0.142 0.219 0.186 ...
'data.frame': 12 obs. of 9 variables:
$ trout : Factor w/ 2 levels "absent","present": 2 1 2 2 1 2 1 2 1 1 ...
$ chinook.survival.1998: num 0.202 0.385 0.142 0.219 0.186 0.189 0.317 0.225 0.259 0.12 ...
$ chinook.survival.1993: num 0.215 0.294 0.12 0.158 0.168 0.105 0.259 0.183 0.2 0.134 ...
$ chinook.survival.1999: num 0.197 0.353 0.188 0.212 0.201 0.151 0.237 0.147 NA 0.13 ...
$ mean.chinook.survival: num 0.194 0.339 0.134 0.176 0.176 ...
$ chinook.survival.1992: num 0.16 0.325 0.086 0.116 0.15 0.228 0.347 0.133 0.48 0.152 ...
$ arcsin : num 0.466 0.669 0.386 0.487 0.446 ...
$ survivors : int 166 180 136 153 178 103 326 173 7 120 ...
$ num.released : int 820 467 960 700 959 545 1029 769 27 998 ...
trout proportion.surviving
1 absent 0.1202405
2 present 0.1416667
Warning message:
In format.data.frame(x, digits = digits, na.encode = FALSE) :
corrupt data frame: columns will be truncated or padded with NAs
Length Class Mode
3 formula call
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