% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ggline.R
\name{ggline}
\alias{ggline}
\title{Line plot}
\usage{
ggline(
  data,
  x,
  y,
  group = 1,
  numeric.x.axis = FALSE,
  combine = FALSE,
  merge = FALSE,
  color = "black",
  palette = NULL,
  linetype = "solid",
  plot_type = c("b", "l", "p"),
  size = 0.5,
  shape = 19,
  stroke = NULL,
  point.size = size,
  point.color = color,
  title = NULL,
  xlab = NULL,
  ylab = NULL,
  facet.by = NULL,
  panel.labs = NULL,
  short.panel.labs = TRUE,
  select = NULL,
  remove = NULL,
  order = NULL,
  add = "none",
  add.params = list(),
  error.plot = "errorbar",
  label = NULL,
  font.label = list(size = 11, color = "black"),
  label.select = NULL,
  repel = FALSE,
  label.rectangle = FALSE,
  show.line.label = FALSE,
  position = "identity",
  ggtheme = theme_pubr(),
  ...
)
}
\arguments{
\item{data}{a data frame}

\item{x, y}{x and y variables for drawing.}

\item{group}{grouping variable to connect points by line.
Allowed values are 1 (for one line, one group) or a character vector specifying
the name of the grouping variable (case of multiple lines).}

\item{numeric.x.axis}{logical. If TRUE, x axis will be treated as numeric. Default is FALSE.}

\item{combine}{logical value. Default is FALSE. Used only when y is a vector
containing multiple variables to plot. If TRUE, create a multi-panel plot by
combining the plot of y variables.}

\item{merge}{logical or character value. Default is FALSE. Used only when y is
a vector containing multiple variables to plot. If TRUE, merge multiple y
variables in the same plotting area. Allowed values include also "asis"
(TRUE) and "flip". If merge = "flip", then y variables are used as x tick
labels and the x variable is used as grouping variable.}

\item{color}{line colors.}

\item{palette}{the color palette to be used for coloring or filling by groups.
Allowed values include "grey" for grey color palettes; brewer palettes e.g.
"RdBu", "Blues", ...; or custom color palette e.g. c("blue", "red"); and
scientific journal palettes from ggsci R package, e.g.: "npg", "aaas",
"lancet", "jco", "ucscgb", "uchicago", "simpsons" and "rickandmorty".}

\item{linetype}{line type.}

\item{plot_type}{plot type. Allowed values are one of "b" for both line and point;
"l" for line only; and "p" for point only. Default is "b".}

\item{size}{Numeric value (e.g.: size = 1). change the size of points and
outlines.}

\item{shape}{point shapes.}

\item{stroke}{point stroke. Used only for shapes 21-24 to control the thickness of points border.}

\item{point.size}{point size.}

\item{point.color}{point color.}

\item{title}{plot main title.}

\item{xlab}{character vector specifying x axis labels. Use xlab = FALSE to
hide xlab.}

\item{ylab}{character vector specifying y axis labels. Use ylab = FALSE to
hide ylab.}

\item{facet.by}{character vector, of length 1 or 2, specifying grouping
variables for faceting the plot into multiple panels. Should be in the data.}

\item{panel.labs}{a list of one or two character vectors to modify facet panel
labels. For example, panel.labs = list(sex = c("Male", "Female")) specifies
the labels for the "sex" variable. For two grouping variables, you can use
for example panel.labs = list(sex = c("Male", "Female"), rx = c("Obs",
"Lev", "Lev2") ).}

\item{short.panel.labs}{logical value. Default is TRUE. If TRUE, create short
labels for panels by omitting variable names; in other words panels will be
labelled only by variable grouping levels.}

\item{select}{character vector specifying which items to display.}

\item{remove}{character vector specifying which items to remove from the plot.}

\item{order}{character vector specifying the order of items.}

\item{add}{character vector for adding another plot element (e.g.: dot plot or
error bars). Allowed values are one or the combination of: "none",
"dotplot", "jitter", "boxplot", "point", "mean", "mean_se", "mean_sd",
"mean_ci", "mean_range", "median", "median_iqr", "median_hilow",
"median_q1q3", "median_mad", "median_range"; see ?desc_statby for more
details.}

\item{add.params}{parameters (color, shape, size, fill, linetype) for the
argument 'add'; e.g.: add.params = list(color = "red").}

\item{error.plot}{plot type used to visualize error. Allowed values are one of
c("pointrange", "linerange", "crossbar", "errorbar", "upper_errorbar",
"lower_errorbar", "upper_pointrange", "lower_pointrange", "upper_linerange",
"lower_linerange"). Default value is "pointrange" or "errorbar". Used only
when add != "none" and add contains one "mean_*" or "med_*" where "*" = sd,
se, ....}

\item{label}{the name of the column containing point labels. Can be also a
character vector with length = nrow(data).}

\item{font.label}{a list which can contain the combination of the following
elements: the size (e.g.: 14), the style (e.g.: "plain", "bold", "italic",
"bold.italic") and the color (e.g.: "red") of labels. For example font.label
= list(size = 14, face = "bold", color ="red"). To specify only the size and
the style, use font.label = list(size = 14, face = "plain").}

\item{label.select}{can be of two formats: \itemize{ \item a character vector
specifying some labels to show. \item a list containing one or the
combination of the following components: \itemize{ \item \code{top.up} and
\code{top.down}: to display the labels  of the top up/down points. For
example, \code{label.select = list(top.up = 10, top.down = 4)}. \item
\code{criteria}: to filter, for example, by x and y variabes values, use
this: \code{label.select = list(criteria = "`y` > 2 & `y` < 5 & `x` \%in\%
c('A', 'B')")}. } }}

\item{repel}{a logical value, whether to use ggrepel to avoid overplotting
text labels or not.}

\item{label.rectangle}{logical value. If TRUE, add rectangle underneath the
text, making it easier to read.}

\item{show.line.label}{logical value. If TRUE, shows line labels.}

\item{position}{Position adjustment, either as a string naming the adjustment
(e.g. \code{"jitter"} to use \code{position_jitter}), or the result of a call to a
position adjustment function. Use the latter if you need to change the
settings of the adjustment.}

\item{ggtheme}{function, ggplot2 theme name. Default value is theme_pubr().
Allowed values include ggplot2 official themes: theme_gray(), theme_bw(),
theme_minimal(), theme_classic(), theme_void(), ....}

\item{...}{other arguments to be passed to geom_dotplot.}
}
\description{
Create a line plot.
}
\details{
The plot can be easily customized using the function ggpar(). Read
  ?ggpar for changing: \itemize{ \item main title and axis labels: main,
  xlab, ylab \item axis limits: xlim, ylim (e.g.: ylim = c(0, 30)) \item axis
  scales: xscale, yscale (e.g.: yscale = "log2") \item color palettes:
  palette = "Dark2" or palette = c("gray", "blue", "red") \item legend title,
  labels and position: legend = "right" \item plot orientation : orientation
  = c("vertical", "horizontal", "reverse") }
}
\examples{
# Data
df <- data.frame(dose=c("D0.5", "D1", "D2"),
   len=c(4.2, 10, 29.5))
print(df)

# Basic plot
# +++++++++++++++++++++++++++
ggline(df, x = "dose", y = "len")


# Plot with multiple groups
# +++++++++++++++++++++

# Create some data
df2 <- data.frame(supp=rep(c("VC", "OJ"), each=3),
   dose=rep(c("D0.5", "D1", "D2"),2),
   len=c(6.8, 15, 33, 4.2, 10, 29.5))
print(df2)

# Plot "len" by "dose" and
# Change line types and point shapes by a second groups: "supp"
ggline(df2, "dose", "len",
  linetype = "supp", shape = "supp")


# Change colors
# +++++++++++++++++++++

# Change color by group: "supp"
# Use custom color palette
ggline(df2, "dose", "len",
   linetype = "supp", shape = "supp",
   color = "supp", palette = c("#00AFBB", "#E7B800"))


# Add points and errors
# ++++++++++++++++++++++++++

# Data: ToothGrowth data set we'll be used.
df3 <- ToothGrowth
head(df3, 10)

# It can be seen that for each group we have
# different values
ggline(df3, x = "dose", y = "len")

# Visualize the mean of each group
ggline(df3, x = "dose", y = "len",
 add = "mean")

# Add error bars: mean_se
# (other values include: mean_sd, mean_ci, median_iqr, ....)
# Add labels
ggline(df3, x = "dose", y = "len", add = "mean_se")

# Change error.plot to "pointrange"
ggline(df3, x = "dose", y = "len",
 add = "mean_se", error.plot = "pointrange")

# Add jitter points and errors (mean_se)
ggline(df3, x = "dose", y = "len",
 add = c("mean_se", "jitter"))

# Add dot and errors (mean_se)
ggline(df3, x = "dose", y = "len",
 add = c("mean_se", "dotplot"), color = "steelblue")

# Add violin and errors (mean_se)
ggline(df3, x = "dose", y = "len",
 add = c("mean_se", "violin"), color = "steelblue")

# Multiple groups with error bars
# ++++++++++++++++++++++

ggline(df3, x = "dose", y = "len", color = "supp",
 add = "mean_se", palette = c("#00AFBB", "#E7B800"))

# Add jitter
ggline(df3, x = "dose", y = "len", color = "supp",
 add = c("mean_se", "jitter"), palette = c("#00AFBB", "#E7B800"))

# Add dot plot
ggline(df3, x = "dose", y = "len", color = "supp",
 add = c("mean_se", "dotplot"), palette = c("#00AFBB", "#E7B800"))


}
\seealso{
\code{\link{ggpar}}, \code{\link{ggbarplot}}
}