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WARNING! This function has been deprecated and is no longer supported. Please use the Point_map function instead. A function to map diversity statistics.

Source: R/Div_Stats_Map.R
Div_Stats_Map.Rd

WARNING! This function has been deprecated and is no longer supported. Please use the Point_map function instead. A function to map diversity statistics.

Usage

Div_Stats_Map(
  dat,
  plot.type = "all",
  statistic,
  breaks = NULL,
  col,
  Lat_buffer = 1,
  Long_buffer = 1,
  write = FALSE,
  prefix = NULL
)

Arguments

dat

Data frame or character string that supplies the input data. If it is a character string, the file should be a csv. The first column should be the statistic to be plotted and named the same as the statistic argument. The second column is Population indicating which population each row belongs to. The third column is the standard deviation, the fourth column is Long indicating the longitude, and the fifth column is Lat, indicating the latitude.

plot.type

Character string. Options are all, point, or interpolated. All is recommended and will generate a map with points colored according to heterozygosity as well as a rater of interpolated heterozygosity values.

statistic

Character string. The statistic to be plotted.

breaks

Numeric. The breaks used to generate the color ramp when plotting. Users should supply 3 values if custom breaks are desired.

col

Character vector indicating the colors you wish to use for plotting, three colors are allowed (low, mid, high). The first color will be the low color, the second the middle, the third the high.

Lat_buffer

Numeric. A buffer to customize visualization.

Long_buffer

Numeric. A buffer to customize visualization.

write

Boolean. Whether or not to write the output to a file in the current working directory.

prefix

Character string that will be appended to file output.

Value

A list containing maps and the data frames used to generate them.

Examples

# \donttest{
data(Het_dat)
Test_het <- Div_Stats_Map(dat = Het_dat, plot.type = 'all',
statistic = "Heterozygosity",
Lat_buffer = 1, Long_buffer = 1, write = FALSE, prefix = 'Test_het')# }
#> [inverse distance weighted interpolation]