Summary statistics for a numeric variable.
Summarize(object, ...) # S3 method for default -Summarize(object, digits = getOption("digits"), - na.rm = TRUE, exclude = NULL, nvalid = c("different", "always", - "never"), percZero = c("different", "always", "never"), ...) +Summarize( + object, + digits = getOption("digits"), + na.rm = TRUE, + exclude = NULL, + nvalid = c("different", "always", "never"), + percZero = c("different", "always", "never"), + ... +) # S3 method for formula -Summarize(object, data = NULL, - digits = getOption("digits"), na.rm = TRUE, exclude = NULL, - nvalid = c("different", "always", "never"), percZero = c("different", - "always", "never"), ...)+Summarize( + object, + data = NULL, + digits = getOption("digits"), + na.rm = TRUE, + exclude = NULL, + nvalid = c("different", "always", "never"), + percZero = c("different", "always", "never"), + ... +)
Arguments
| cols | A single numeric that contains the number of columns to use on the graphic. |
-
|---|---|
| ... | -Other arguments to pass through to the |
-
Value
diff --git a/docs/reference/mapvalues.html b/docs/reference/mapvalues.html index 96ffe4e3..ba413aa6 100644 --- a/docs/reference/mapvalues.html +++ b/docs/reference/mapvalues.html @@ -77,7 +77,7 @@ diff --git a/docs/reference/metaM.html b/docs/reference/metaM.html index 3c747c23..1714eadc 100644 --- a/docs/reference/metaM.html +++ b/docs/reference/metaM.html @@ -77,7 +77,7 @@ @@ -127,9 +127,19 @@Estimate natural mortality from a variety of empirical methods.
Mmethods(what = c("all", "tmax", "K", "Hoenig", "Pauly")) -metaM(method = Mmethods(), justM = TRUE, tmax = NULL, K = NULL, - Linf = NULL, t0 = NULL, b = NULL, L = NULL, Temp = NULL, - t50 = NULL, Winf = NULL) +metaM( + method = Mmethods(), + justM = TRUE, + tmax = NULL, + K = NULL, + Linf = NULL, + t0 = NULL, + b = NULL, + L = NULL, + Temp = NULL, + t50 = NULL, + Winf = NULL +) # S3 method for metaM print(x, digits = 4, ...)diff --git a/docs/reference/mrClosed.html b/docs/reference/mrClosed.html index 2568bf01..af6e7f1c 100644 --- a/docs/reference/mrClosed.html +++ b/docs/reference/mrClosed.html @@ -77,7 +77,7 @@ @@ -125,35 +125,73 @@
Estimate initial population size for single or multiple census mark-recaptur
Estimates of the initial population size, along with associated confidence intervals, are constructed from single or multiple census mark-recapture data using a variety of methods. For single census data, the initial population size (N) is estimated from the number of marked animals from a first sample (M), number of captured animals in a second sample (n), and the number of recaptured marked animals in the second sample (m) using either the ‘naive’ Petersen method or Chapman, Ricker, or Bailey modifications of the Petersen method. Single census data can also be separated by group (e.g., size class) to estimate the initial population size by class and for the overall population size. For multiple census data, the initial population size is estimated from the number of captured animals (n), number of recaptured marked animals (m), the number of marked animals that are marked and returned to the population (R), or the number of extant marked animals prior to the sample (M) on each of several samples using either the Schnabel (1938) or Schumacher-Eschmeyer (1943) method.
-mrClosed(M = NULL, n = NULL, m = NULL, R = NULL, +mrClosed( + M = NULL, + n = NULL, + m = NULL, + R = NULL, method = c("Petersen", "Chapman", "Ricker", "Bailey", "Schnabel", - "SchumacherEschmeyer"), labels = NULL, chapman.mod = TRUE) + "SchumacherEschmeyer"), + labels = NULL, + chapman.mod = TRUE +) # S3 method for mrClosed1 -summary(object, digits = 0, incl.SE = FALSE, - incl.all = TRUE, verbose = FALSE, ...) +summary( + object, + digits = 0, + incl.SE = FALSE, + incl.all = TRUE, + verbose = FALSE, + ... +) # S3 method for mrClosed1 -confint(object, parm = NULL, level = conf.level, - conf.level = 0.95, digits = 0, type = c("suggested", "binomial", - "hypergeometric", "normal", "Poisson"), bin.type = c("wilson", "exact", - "asymptotic"), poi.type = c("exact", "daly", "byar", "asymptotic"), - incl.all = TRUE, verbose = FALSE, ...) +confint( + object, + parm = NULL, + level = conf.level, + conf.level = 0.95, + digits = 0, + type = c("suggested", "binomial", "hypergeometric", "normal", "Poisson"), + bin.type = c("wilson", "exact", "asymptotic"), + poi.type = c("exact", "daly", "byar", "asymptotic"), + incl.all = TRUE, + verbose = FALSE, + ... +) # S3 method for mrClosed2 summary(object, digits = 0, verbose = FALSE, ...) # S3 method for mrClosed2 -confint(object, parm = NULL, level = conf.level, - conf.level = 0.95, digits = 0, type = c("suggested", "normal", - "Poisson"), poi.type = c("exact", "daly", "byar", "asymptotic"), - verbose = FALSE, ...) +confint( + object, + parm = NULL, + level = conf.level, + conf.level = 0.95, + digits = 0, + type = c("suggested", "normal", "Poisson"), + poi.type = c("exact", "daly", "byar", "asymptotic"), + verbose = FALSE, + ... +) # S3 method for mrClosed2 -plot(x, pch = 19, col.pt = "black", - xlab = "Marked in Population", ylab = "Prop. Recaptures in Sample", - loess = FALSE, lty.loess = 2, lwd.loess = 1, - col.loess = "gray20", trans.loess = 10, span = 0.9, ...)+plot( + x, + pch = 19, + col.pt = "black", + xlab = "Marked in Population", + ylab = "Prop. Recaptures in Sample", + loess = FALSE, + lty.loess = 2, + lwd.loess = 1, + col.loess = "gray20", + trans.loess = 10, + span = 0.9, + ... +)
