Plot the time series of particle size distribution.

Usage

geom_psd(
  df,
  labxyl = NULL,
  logy = TRUE,
  ybk = NULL,
  nlmt = NULL,
  csbk = pretty_breaks(4),
  trans = "identity",
  colsz = 1,
  fsz = 13,
  lsz = 0.4,
  tkl = 0.2
)

Arguments

df: dataframe of particle size data: the first column of input is datetime; the other columns are number concentration (N, unit: #/cm3) or log number concentration (dN/dlogdp, unit: #/cm3) for each particle size channel. Column names of the other columns are the middle particle size for each particle size channel.
labxyl: vector, Set the title of x axis, y axis, legend. The default vaule is NULL. Bquote grammer is accepted.
logy: logical. Plot the data with log y axis. The default vaule is TRUE.
ybk: numeric vector, breaks of y axis.
nlmt: numeric value, range of particle number for colorscales of plot.
csbk: numeric vector, breaks of color bar.
trans: character string, "identity" or "log10". transformation of color bar breaks.
colsz: numeric value, size of columns in plot.
fsz: font size in plot.
lsz: line size of panel border and axis in plot.
tkl: tick length in plot.

Value

a plot for the time series of particle size distribution.

Examples

if (FALSE) { 
dn_table = read.delim(system.file("extdata", "smps.txt", package = "foqat"),
check.names = FALSE)
dn1_table=dn_table[,c(1,5:148)]
dn1_table[,1]=as.POSIXct(dn1_table[,1], format="%m/%d/%Y %H:%M:%S", tz="GMT")
geom_psd(dn1_table,fsz=10)
}