Description Usage Arguments Value Examples
stacks logos created by the makemylogo
function on top of
each other to build the logo plot.
1 2 3 4 5 6 7 8 9 10 11 | plogomaker(table, ic = NULL, color_profile, total_chars = c("A", "B",
"C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P",
"Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "zero", "one", "two",
"three", "four", "five", "six", "seven", "eight", "nine", "dot", "comma",
"dash", "colon", "semicolon", "leftarrow", "rightarrow"), bg = NULL,
frame_width = NULL, ic.scale = TRUE, xaxis = TRUE, yaxis = TRUE,
xaxis_fontsize = 10, xlab_fontsize = 15, y_fontsize = 15,
main_fontsize = 16, start = 0.001, yscale_change = TRUE,
pop_name = NULL, xlab = "X", ylab = "Information content",
col_line_split = "grey80", addlogos = NULL, addlogos_text = NULL,
newpage = TRUE, control = list())
|
table |
The input table (data frame or matrix) of counts across different logos or symbols (specified along the rows) ans across different sites or positions or groups (specified along the columns). |
ic |
A vector of same length as the number of columns in the |
color_profile |
A list containing two elements - "type" and "col".
The type can be of three types - "per-row", "per-column" and "per-symbol".
The "col" element is a vector of colors, of same length as number of rows
in table for "per-row" (assigning a color to each string), of same length
as number of columns in table for "per-column" (assuming a color for each
column), or a distinct color for a distinct symbol in "per-symbol". For
"per-symbol", the length of the |
total_chars |
The total number of character symbols in the user library. The default is the default library provided by Logolas, but the user can add symbols that he creates to this list. |
bg |
The background probability, which defaults to NULL, in which case equal probability is assigned to each symbol. The user can however specify a vector (equal to in length to the number of symbols) which specifies the background probability for each symbol and assumes this background probability to be the same across the columns (sites), or a matrix, whose each cell specifies the background probability of the symbols for each position. |
frame_width |
The width of the frames for individual site/postion/column in the logo plot. As default, all the columns have same width, equal to 1. |
ic.scale |
if TRUE, the height of the bars in the stacked logo chart for each column is determined based on the information criterion input. Otherwise, the bars are normalized so that the height of each bar is $1$. Defaults to TRUE. |
xaxis |
Binary specifying if there should be a X axis in the logo plot or not. Defaults to TRUE. |
yaxis |
Binary specifying if there should be a Y axis in the logo plot or not. Defaults to TRUE. |
xaxis_fontsize |
The size of the X-axis axis ticks. |
xlab_fontsize |
The size of the X-axis label. |
y_fontsize |
The size of the Y-axis font. |
main_fontsize |
The size of the title. |
start |
The starting point in Y axis for the first logo. Default is 0.0001 which is very close to 0. |
yscale_change |
If TRUE, adjusts the Y axis scale based on the size of
the bars, else keeps it to the maximum value possible, which is
|
pop_name |
User can mention a name of the population for which the logo plot is created. Defaults to NULL when no population name is mentioned. |
xlab |
X axis label |
ylab |
Y axis label |
col_line_split |
The color of the line split between the consecutive groups or blocks |
addlogos |
Vector of additional logos/symbols defined by user |
addlogos_text |
Vector of the names given to the additional logos/symbols defined by user. |
newpage |
if TRUE, plots the logo plot in a new page. Defaults to TRUE. |
control |
control parameters fixing whether the height of the logos is
detrmined by IC or histogram proportions ( |
Plots the logo plot for the table data, with column names representing the sites/blocks and the row names denoting the symbols for which logos are plotted
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | cols = RColorBrewer::brewer.pal.info[RColorBrewer::brewer.pal.info$category == 'qual',]
col_vector = unlist(mapply(RColorBrewer::brewer.pal, cols$maxcolors,
rownames(cols)))
counts_mat <- rbind(c(0, 10, 100, 60, 20),
c(40, 30, 30, 35, 20),
c(100, 0, 15, 25, 75),
c(10, 30, 20, 50, 70))
colnames(counts_mat) <- c("2012", "2013", "2014", "2015", "2016")
rownames(counts_mat) <- c("MAN", "MAIL", "LAWN", "CAR")
color_profile <- list("type" = "per_symbol",
"col" = col_vector)
plogomaker(counts_mat,
color_profile = color_profile,
frame_width = 1,
ic.scale = FALSE)
color_profile <- list("type" = "per_row",
"col" = col_vector[1:4])
plogomaker(counts_mat,
color_profile = color_profile,
frame_width = 1,
ic.scale = FALSE)
color_profile <- list("type" = "per_column",
"col" = col_vector[1:5])
plogomaker(counts_mat,
color_profile = color_profile,
frame_width = 1,
ic.scale = FALSE)
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