spaghetti {lava} | R Documentation

## Spaghetti plot

### Description

Spaghetti plot for longitudinal data

### Usage

    spaghetti(formula, data, id = "id", group = NULL, type = "o", lty = 1,
      pch = NA, col = 1:10, alpha = 0.3, lwd = 1, level = 0.95,
      trend.formula = formula, tau = NULL, trend.lty = 1, trend.join = TRUE,
      trend.delta = 0.2, trend = !is.null(tau), trend.col = col,
      trend.alpha = 0.2, trend.lwd = 3, trend.jitter = 0, legend = NULL,
      by = NULL, xlab = "Time", ylab = "", add = FALSE, ...)

### Arguments

`formula` | Formula (response ~ time)
`data` | data.frame
`id` | Id variable
`group` | group variable
`type` | Type (line 'l', stair 's', ...)
`lty` | Line type
`pch` | Colour
`col` | Colour
`alpha` | transparency (0-1)
`lwd` | Line width
`level` | Confidence level
`trend.formula` | Formula for trendline
`tau` | Quantile to estimate (trend)
`trend.lty` | Trend line type
`trend.join` | Trend polygon
`trend.delta` | Length of limit bars
`trend` | Add trend line
`trend.col` | Colour of trend line
`trend.alpha` | Transparency
`trend.lwd` | Trend line width
`trend.jitter` | Jitter amount
`legend` | Legend
`by` | make separate plot for each level in 'by' (formula, name of column, or vector)
`xlab` | Label of X-axis
`ylab` | Label of Y-axis
`add` | Add to existing device
`...` | Additional arguments to lower level arguments

### Author(s)

Klaus K. Holst

### Examples

    if (interactive() & requireNamespace("mets")) {
    K <- 5
    y <- "y"%++%seq(K)
    m <- lvm()
    regression(m,y=y,x=~u) <- 1
    regression(m,y=y,x=~s) <- seq(K)-1
    regression(m,y=y,x=~x) <- "b"
    N <- 50
    d <- sim(m,N); d$z <- rbinom(N,1,0.5)
    dd <- mets::fast.reshape(d); dd$num <- dd$num+3
    spaghetti(y~num,dd,id="id",lty=1,col=Col(1,.4),
              trend.formula=~factor(num),trend=TRUE,trend.col="darkblue")
    dd$num <- dd$num+rnorm(nrow(dd),sd=0.5) ## Unbalance
    spaghetti(y~num,dd,id="id",lty=1,col=Col(1,.4),
              trend=TRUE,trend.col="darkblue")
    spaghetti(y~num,dd,id="id",lty=1,col=Col(1,.4),
               trend.formula=~num+I(num^2),trend=TRUE,trend.col="darkblue")
    }

[Package lava version 1.5.1 Index]