Package 'zoo' - CRAN

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18 na.aggregate ## merge multiple series represented in a long form data frame ## into a multivariate zoo series and plot, one series for each site. ## Additional examples can be found here: ## https://stat.ethz.ch/pipermail/r-help/2009-February/187094.html ## https://stat.ethz.ch/pipermail/r-help/2009-February/187096.html ## m
na.approx 19 Arguments Value object an object. by a grouping variable corresponding to object, or a function to be applied to time(object) to generate the groups. ... further arguments passed to by if by is a function. FUN function to apply to the non-missing values in each group defined by by. na.rm logical. Should any remaining NAs be removed? maxgap maximum number of consecutive NAs to fill. Any longer gaps will be left unchanged. An object in which each NA in the input object is replaced by the mean (or other function) of its group, defined by by. This is done for each series in a multi-column object. Common choices for the aggregation group are a year, a month, all calendar months, etc. If a group has no non-missing values, the default aggregation function mean will return NaN. Specify na.rm = TRUE to omit such remaining missing values. See Also zoo Examples z
Page 1 and 2: Version 1.7-9 Date 2012-11-04 Packa
Page 3 and 4: aggregate.zoo 3 Value Note ... furt
Page 5 and 6: as.zoo 5 # aggregate POSIXct second
Page 7 and 8: frequency
Page 9 and 10: ggplot2.zoo 9 Details Value melt Sh
Page 11 and 12: is.regular 11 Examples x.date
Page 13 and 14: lag.zoo 13 lag.zoo Lags and Differe
Page 15 and 16: MATCH 15 Value A list of parameters
Page 17: merge.zoo 17 Value each argument (i
Page 21 and 22: na.approx 21 Value If obj is a zoo,
Page 23 and 24: na.locf 23 na.fill(object, fill, ix
Page 25 and 26: na.locf 25 na.locf(z, xout = g) # s
Page 27 and 28: na.trim 27 Examples z
Page 29 and 30: plot.zoo 29 Examples ORDER(rnorm(5)
Page 31 and 32: plot.zoo 31 x
Page 33 and 34: plot.zoo 33 axis(side = 4) legend(x
Page 35 and 36: ead.zoo 35 format date format argum
Page 37 and 38: ead.zoo 37 ## (Here we use format i
Page 39 and 40: ollapply 39 Details Value FUN the f
Page 41 and 42: ollapply 41 # by = 3, align = "righ
Page 43 and 44: ollmean 43 rollmean Rolling Means/M
Page 45 and 46: xblocks 45 Value See Also value a s
Page 47 and 48: xblocks 47 See Also panel.xblocks,
Page 49 and 50: xyplot.zoo 49 Details Value y numer
Page 51 and 52: xyplot.zoo 51 # Plot all in one pan
Page 53 and 54: yearmon 53 Value There are coercion
Page 55 and 56: yearqtr 55 Arguments Details Value
Page 57 and 58: zoo 57 (given in order.by). In prin
Page 59 and 60: zoo 59 References Achim Zeileis and
Page 61 and 62: zoo 61 zz[]
Page 63 and 64: zooreg 63 Value Date, POSIXct, tis,
Page 65 and 66: Index ∗Topic array rollapply, 38
Page 67 and 68: INDEX 67 na.locf, 21, 23, 27, 58 na

Package 'zoo' - CRAN

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