Default value are, if TRUE, x and y axis ticks are hidden. In this post we’re going to be using R and ggplot2 to create a project timeline with milestones and milestone statuses. You can also add a line for the mean using the function geom_vline. Therefore, if we want to have gridlines on our plot then either we should create the plot using ggplot2 package or we can use the command grid() to add the gridlines on the plot created by plot function. Course: Machine Learning: Master the Fundamentals, Course: Build Skills for a Top Job in any Industry, Specialization: Master Machine Learning Fundamentals, Specialization: Software Development in R, Change the line type and the point shape of line plot, Change line plot background and fill colors, Change line plot color according to the group, Legend background color, title and text font styles, Create a customized plots with few R code, http://creativecommons.org/licenses/by-nc-sa/3.0/, Courses: Build Skills for a Top Job in any Industry, IBM Data Science Professional Certificate, Practical Guide To Principal Component Methods in R, Machine Learning Essentials: Practical Guide in R, R Graphics Essentials for Great Data Visualization, GGPlot2 Essentials for Great Data Visualization in R, Practical Statistics in R for Comparing Groups: Numerical Variables, Inter-Rater Reliability Essentials: Practical Guide in R, R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Practical Statistics for Data Scientists: 50 Essential Concepts, Hands-On Programming with R: Write Your Own Functions And Simulations, An Introduction to Statistical Learning: with Applications in R. a vector of length 3 indicating respectively the size, the style (“italic”, “bold”, “bold.italic”) and the color of x and y axis titles. Examples with code and interactive charts If you’re not familiar with it, the tidyverse package is a bundle of other R packages. x value (for x axis) can be : date : for a time series data; texts; discrete numeric values; continuous numeric values; This article describes how to create a line plot using the ggplot2 R package. Plotting our data allows us to quickly see general patterns including outlier points and trends. An R script is available in the next section to install the package. Figure 4 shows how our plot looks like when selecting theme_bw. Plotting Tesla stock price using ggplot2 and geom_line. library("ggplot2") # Load ggplot2 Introduction. Create line plots and change line types The argument linetype is used to change the line type : library(ggplot2) ggplot(data=df, aes(x=time, y=bill, group=1)) + geom_line()+ geom_point() ggplot(data=df, aes(x=time, y=bill, group=1)) + geom_line(linetype = "dashed")+ geom_point() Line plot with multiple groups ; Use the viridis package to get a nice color palette. # 6 5.4 3.9 1.7 0.4 6. eval(ez_write_tag([[250,250],'data_hacks_com-box-3','ezslot_1',102,'0','0']));We have to install and load the ggplot2 & reshape2 packages: install.packages("ggplot2") # Install ggplot2 package They illustrate similar topics as this post: Your email address will not be published. More generally, visit the [ggplot2 section] for more ggplot2 related stuff. Possible values : c(“none”, “log2”, “log10”). Default values are, if TRUE, x and y axis tick mark labels will be shown. We however do not discuss this approach here, but go directly to the approach using ggplot2. If you want to look at distribution of one categorical variable across the levels of another categorical variable, you can create a stacked bar plot. # 6 6 Sepal.Length 5.4, ggplot(iris_long, # Drawing ggplot2 plot Plotting separate slopes with geom_smooth() The geom_smooth() function in ggplot2 can plot fitted lines from models with a simple structure. arrow is function from package grid. eval(ez_write_tag([[300,250],'data_hacks_com-medrectangle-4','ezslot_7',105,'0','0']));Have a look at the following R tutorials. Change line style with arguments like shape, size, color and more. The name of column containing x variable (i.e groups). The relationship between variables is called as correlation which is usually used in statistical methods. x value (for x axis) can be : date : for a time series data; texts; discrete numeric values; continuous numeric values By default, ggplot2 uses solid line type and circle shape. This R tutorial describes how to create a histogram plot using R software and ggplot2 package.. The different color systems available in R have been described in detail here. In this R tutorial you’ll learn how to draw line graphs.. How to Add a Vertical Line to a Plot Using ggplot2 You can quickly add vertical lines to ggplot2 plots using the geom_vline () function, which uses the following syntax: geom_vline (xintercept, linetype, color, … It can also be used to customize quickly the plot parameters including main title, axis labels, legend, background and colors.ggplot2.lineplot function is from easyGgplot2 package. Other arguments passed on to ggplot2.customize custom function or to geom_line functions from ggplot2 package. You can also use other color scales, such as ones taken from the RColorBrewer package. Figure 4: theme_bw of ggplot2 Package. But, the way you make plots in ggplot2 is very different from base graphics making the learning curve steep. If both data frames have the same column names then you should add one data frame inside ggplot()call and also name x and y values inside aes()of ggplot()call. One of the simple options to make facet plot using ggplot2 is to use facet_wrap () function. Default values are, a vector of length 3 indicating respectively the size, the style and the color of x and y axis tick label fonts. Default value is, a vector of length 3 indicating respectively the size, the line type and the color of axis lines. It is also possible to position the legend inside the plotting area. Sample data Default value is: mainTitleFont=c(14, “bold”, “black”). You have to indicate the x, y coordinates of legend box. Default value is NULL. # x variable value I have a question about legends in ggplot2. But I can't figure out how to manually control colors in geom_line(). Default value is FALSE. In this tutorial, we will learn to how to make Scree plot using ggplot2 in R. We will use Palmer Penguins dataset to do PCA and show two ways to create scree plot. Stacked Bar Plot. You can make them thicker (or thinner) using the argument size argument within stat_function. Line width in ggplot2 can be changed with argument size= in geom_line (). Use the viridis package to get a nice color palette. This variable is used to color plot according to the group. To draw multiple lines, the points must be grouped by a variable; otherwise all points will be connected by a single line… All rights reserved. Line charts can be used for exploratory data analysis to check the data trends by observing the line pattern of the line graph. Here is an example based on the mtcars dataset. To create a line chart, you use the geom_line() function. See ?grid::arrow for more details. Please consider donating to Black Girls Code today. aes(x = x, Top 50 ggplot2 Visualizations - The Master List (With Full R Code) ... As noted in the part 2 of this tutorial, whenever your plot’s geom (like points, lines, bars, etc) changes the fill, size, col, shape or stroke based on another column, a legend is automatically drawn. The scatter plots show how much one variable is related to another. ggplot2.lineplot function is from easyGgplot2 package. Colors can be specified as a hexadecimal RGB triplet, such as "#FFCC00" or by names (e.g : "red" ). Default value are, Rotation angle of x and y axis tick labels. I’d be very grateful if you’d help it spread by emailing it to a friend, or sharing it on Twitter, Facebook or Linked In. ggp1 <- ggplot (data, aes (x)) + # Create ggplot2 plot geom_line (aes (y = y1, color = "red")) + geom_line (aes (y = y2, color = "blue")) ggp1 # Draw ggplot2 plot The output of the previous R programming syntax is shown in Figure 1: It’s a ggplot2 line graph showing multiple lines. ggplot2.lineplot is an easy to use function to generate line plots in R software using ggplot2 plotting system. The other arguments which can be used are described at this link : ggplot2 customize. That means, by-and-large, ggplot2 itself changes relatively little. head(iris_long) # Printing head of long iris data Colors and line types of the plot are selected based on the default specifications of the ggplot2 package. Different point shapes and line types can be used in the plot. They are used to customize the plot (axis, title, background, color, legend, ….) Note that the previous examples can be applied to any type of ggplot2 plot (i.e. Contact : Alboukadel Kassambara alboukadel.kassambara@gmail.com. This post is gonna show how to use the theme() function to apply all type of customization on this default legend. To be more specific, the article looks as follows: Default value is “none”. Copyright 2014 Alboukadel Kassambara. At first we will make Screeplot using line plots with Principal components on x-axis and variance explained by each PC as point connected by line. Default values are, x and y axis scales. The article contains eight examples for the plotting of lines. So if you use color, shape or alpha, a legend will be available.. 1I am trying to plot line plots in R using the code below.Goal is to have line plots showing trend of values across sampling days for different parameters. Custom the general theme with the theme_ipsum() function of the hrbrthemes package. Licence : This document is under creative commons licence (http://creativecommons.org/licenses/by-nc-sa/3.0/). The aim of this article is to show you step by step, how to plot and customize a line plot using ggplot2.lineplot function. The finished product will look like this: Let’s start by importing libraries that we’ll be using, we’ll only need ggplot2 , scales , and lubridate for this task. ggplot2 - Scatter Plots & Jitter Plots. If TRUE, points are added to the plot. install.packages("ggplot2") # Install & load ggplot2 package library ("ggplot2") Next, we can draw a graph of our example data: ggp <- ggplot (data, aes (x, y, color = group)) + # Create line plot with default colors geom_line () ggp # Draw line plot As shown in Figure 1, the previously shown code plotted a line chart using the ggplot2 package. However I keep getting intermediary vertical lines preventing generation of smooth continuous line plots. It is possible to make a spaghetti plot using base R graphics using the function interaction.plot(). e.g: yScale=“log2”. It draws a horizontal line on the current plot at the specified ‘y’ coordinates : library(ggplot2) sp <- ggplot(data=mtcars, aes(x=wt, y=mpg)) + geom_point() sp + geom_hline(yintercept=20) sp + geom_hline(yintercept=20, linetype="dashed", color = "red") sp + geom_hline(yintercept=20, linetype="dashed", color = "red", size=2) Enjoyed this article? An R script is available in the next section to install the package. In this case, the length of groupColors should be the same as the number of the groups. At the end of this tutorial you will be able to draw, with few R code, the following plots: ggplot2.lineplot function is described in detail at the end of this document. iris$x <- 1:nrow(iris) # Add counter Suggest an edit to this page. If your data needs to be restructured, see this page for more information. Usage : arrow=arrow(). It might be useful to treat these values as equal categories when making a graph. It can also be used to customize quickly the plot parameters including main title, axis labels, legend, background and colors. To change line plot color according to the group, you have to specify the name of the data column containing the groups using the argument groupName. Required fields are marked *, © Copyright Data Hacks – Legal Notice & Data Protection, You need to agree with the terms to proceed, # Sepal.Length Sepal.Width Petal.Length Petal.Width x, # 1 5.1 3.5 1.4 0.2 1, # 2 4.9 3.0 1.4 0.2 2, # 3 4.7 3.2 1.3 0.2 3, # 4 4.6 3.1 1.5 0.2 4, # 5 5.0 3.6 1.4 0.2 5, # 6 5.4 3.9 1.7 0.4 6. This tutorial focusses on exposing this underlying structure you can use to make any ggplot. Color of groups. This package is built upon the consistent underlying of the book Grammar of graphics written by Wilkinson, 2005. ggplot2 is very flexible, incorporates many themes and plot specification at a high level of abstraction. That means, by-and-large, ggplot2 itself changes relatively little. The following R programming code illustrates how to select colors and line types manually. In this tutorial, you are going to use ggplot2 package. These are the variable mappings used here: time: x-axis; sex: line color; total_bill: y-axis. More generally, visit the [ggplot2 section] for more ggplot2 related stuff. Published by STHDA (http://www.sthda.com/english). Modify point size, shape, fill and color. iris <- iris[ , 1:4] # Remove non-numeric data The name of column containing group variable. This analysis was performed using R (ver. The name of column containing y variable. Load the Data. This function Describe arrows to add to a line. This tutorial uses ggplot2 to create customized plots of time series data. # Sepal.Length Sepal.Width Petal.Length Petal.Width x Details. How to Suppress Vertical & Horizontal Gridlines in ggplot2 Plot, How to Draw a ggplot2 Barchart with Empty Factor Levels, Adjust Position of ggplot2 Plot Title in R, How to Draw All Variables of a Data Frame in a ggplot2 Plot, R Return Output of for-Loop Using print() Function (Example Code), How to Apply the as.double() & is.double() Functions in R (2 Examples), How to Exchange Multiple French Letters with Accents in R (Example Code), R Deleting All White Space in Character String (Example Code), R for-Loop & while-Loop Over Variables & Rows of Data Frame (2 Examples), How to Add Text Outside of ggplot2 Plot Borders in R (Example Code), How to Create Only One ggplot2 Legend in R (Example Code), How to Solve the Error – Subscript Out of Bounds in R (Example Code), Adding New Data Frame Row at Certain Index in R (Example Code), R Extract Matrix Containing Regression Coefficients of lm (Example Code). x and y values must be between 0 and 1. c(0,0) corresponds to “bottom left” and c(1,1) corresponds to “top right” position. # Plotting Uniform Distributions In R With ggplot2 # Using the ggplot package to plot various probability distributions. You have to indicate the x, y coordinates of legend box. If you have downloaded and imported ggplot2 for use in your R installation, you can use it to plot your data. Creating plots in R using ggplot2 ... As you can see, the lines are a little difficult to see. #sample data df<-data.frame(x=rnorm(100),y=rnorm(100)) ggplot(df,aes(x=x,y=y))+geom_line(size=2) bar charts, line plots, histograms, boxplots, and so on…). Plotting Multiple Lines to One ggplot2 Graph in R (Example Code) In this post you’ll learn how to plot two or more lines to only one ggplot2 graph in the R programming language. Faceting or making small multiples or a multi-panel plot with same plot for different groups is a great option that is worth considering. Example: Manually Adjust Line Type & Color in ggplot2 Legend. This can be one value or multiple values. color = variable)) + Want to Learn More on R Programming and Data Science? data.frame or a numeric vector. ggplot2 is the most elegant and aesthetically pleasing graphics framework available in R. It has a nicely planned structure to it. To create a scatterplot, you use the geom_point() function. Introduction to Line Graph in R. Line Graph in R is a basic chart in R language which forms lines by connecting the data points of the data set. ggplot2 >Basic >geom_line. Indicate the type of x-axis. When the variable on the x-axis is numeric, it is sometimes useful to treat it as continuous, and sometimes useful to treat it as categorical. This is part 3 of a three part tutorial on ggplot2, an aesthetically pleasing (and very popular) graphics framework in R. This tutorial is primarily geared towards those having some basic knowledge of the R programming language and want to make complex and nice looking charts with R ggplot2. if TRUE, x and y axis titles will be shown. library("reshape2"), iris_long <- melt(iris, id = "x") # Transforming data to long format groupColors should have the same length as groups. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. Change line style with arguments like shape, size, color and more. # 5 5.0 3.6 1.4 0.2 5 This section contains best data science and self-development resources to help you on your path. # 2 4.9 3.0 1.4 0.2 2 I’ve already pulled the stock data (from finance.yahoo.com) First, we’re going to import the tidyverse library. The functions geom_line(), geom_step(), or geom_path() can be used. ; Custom the general theme with the theme_ipsum() function of the hrbrthemes package. e.g: brewerPalette=“Paired”. See ../Colors (ggplot2) for more information on colors. Set the value to FALSE to hide axis labels. Avez vous aimé cet article? Use the argument brewerPalette, to specify colors using RColorBrewerpalette. x value (for x axis) can be : date : for a time series data; texts; discrete numeric values; continuous numeric values; This article describes how to create a line plot using the ggplot2 R package. In this data set, the dose is a numeric variable with values 0.5, 1.0, and 2.0. # 3 4.7 3.2 1.3 0.2 3 ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. In a line graph, observations are ordered by x value and connected. Note that an eBook is available on easyGgplot2 package here. Several options are available to customize the line chart appearance: Add a title with ggtitle(). Scatter Plots are similar to line graphs which are usually used for plotting. Default value is “categorical”. Several options are available to customize the line chart appearance: Add a title with ggtitle(). In a line plot, observations are ordered by x value and connected by a line. # 1 5.1 3.5 1.4 0.2 1 # 5 5 Sepal.Length 5.0 # 3 3 Sepal.Length 4.7 This is derived from the ToothGrowth dataset included with R. Plot easily a line plot using easyGgplot2 R package. In this case the parameter groupColors should be NULL. In this example, we’re going to plot the stock price of Tesla stock using ggplot2. Line graphs. Spaghetti plot using ggplot2 . We want to exactly reproduce figure 3 of the article that actually has four sub-figures. This data will be used for the examples below: The arguments that can be used to customize x and y axis are listed below : For more details follow this link : ggplot2.customize. ; More generally, visit the [ggplot2 section] for more ggplot2 related stuff. This R tutorial describes how to create line plots using R software and ggplot2 package. Introduction. easyGgplot2 R package can be installed as follow : The data must be a numeric vector or a data.frame (columns are variables and rows are observations). How to make a scatterplot A scatterplot creates points (or sometimes bubbles or other symbols) […] Then add first geom_line()for the first line and add second geom_line()call with data=df2(where df2 is your second data frame). To make graphs with ggplot2, the data must be in a data frame, and in “long” (as opposed to wide) format. Examples with code and interactive charts. Statistical tools for high-throughput data analysis. ggplot2.lineplot is an easy to use function to generate line plots in R software using ggplot2 plotting system. Default value is. 3.1.0), easyGgplot2 (ver 1.0.0) and ggplot2 (ver 1.0.0). facet_wrap () function enables you to make multi-panel plot by simply splitting the data into small groups. Save my name, email, and website in this browser for the next time I comment. Possible values for the, limit for the x and y axis. In a line plot, observations are ordered by x value and connected by a line. An R script is available in the next section to install the package. By default, ggplot2 will automatically build a legend on your chart as soon as a shape feature is mapped to a variable in aes() part of the ggplot() call. ( axis, title, background and colors in your R installation, you use! By name how much one variable is used by hundreds of thousands of people to make line plots in (... More specific, the lines are a little difficult to see see this page more! Stock data ( from finance.yahoo.com ) First, we’re going to be more specific, the length of groupColors be... Has gridlines of people to make line plots in ggplot2 legend these are the variable mappings used here time! The way you make plots in R using ggplot2 way to communicate the results of our research ] more! More lines to only one ggplot2 graph in the R language installation, you use the argument,! Is to show you step by step, how to plot various probability Distributions splitting the data trends observing! Quickly see general patterns including outlier points and trends the package “ log2 ”, “ continuous )..., email, and 2.0, limit for the plotting of lines for! Base graphics making the learning curve steep [ ggplot2 section ] for more ggplot2 related stuff n't out! “ bold ”, “ log10 ” ) is to show you step by step, to! For use in your R installation, you use the viridis package to get a nice color.! Second categorical variable and website in this data set, the way you make plots in with! And log10 underlying structure you can also be used in statistical methods familiar with it, the tidyverse package a! Function enables you to make a spaghetti plot using ggplot2 package then the with. Smooth continuous line plots in ggplot2 with geom_line can use it to plot three lines in the R. To use facet_wrap ( ) function change line style with arguments like shape fill. Very different from base graphics making the learning curve steep also used to customize the plot ( axis,,! Section ] for more information on colors learning curve steep to install the package used... How our plot looks like when selecting theme_bw to generate line plots in have. Created by mapping the fill argument to the second categorical variable when making a graph multi-panel plot simply! And trends from models with a simple structure plotting Uniform Distributions in have. Line graph, observations are ordered by x value and connected by a line | create plots... Between variables is called as correlation which is usually used in the R.! Is possible to position the legend inside the plotting of lines can make them thicker ( or thinner ) the... Be also used to customize the line type & color in ggplot2 legend to line graphs which are usually for! Familiar with it, the length of groupColors should be the same graph and want to learn more on programming... Between 0 and 1. c ( “ none ”, “ continuous ” ) I getting. Value to FALSE to hide axis labels TRUE, x and y axis titles will be to. Histogram plot using ggplot2... as you can use to make line plots in R with ggplot2 # the... Customize a line for the plotting area ’ re going to use ggplot2 package ggplot2 # using the size. Ticks are hidden be used for plotting color scales, such as ones taken from the ToothGrowth dataset with... Plot various probability Distributions to use function to generate line plots in R with ggplot2 # using the groupColors... This page for more ggplot2 related stuff timeline with milestones and milestone statuses programming code illustrates how to the. Very different from base graphics making the learning curve steep data ( from finance.yahoo.com ) First, we’re to! On this default legend other R packages shape, size, color and more by x value connected! Is used to indicate group colors Distributions in R software using ggplot2 is numeric! See this page for more ggplot2 related stuff categorical variable 3 of the hrbrthemes.! Length 3 indicating respectively the size, shape or alpha, a legend the! With ggplot2 # using the ggplot package to plot your data needs to be using R and to. Including main title, axis labels observations are ordered by x value and connected by a chart! Code illustrates how to draw line graphs which are usually used for exploratory data analysis to the. Example based on the mtcars dataset next section to install the package histograms,,... Slopes with geom_smooth ( ) function to generate line plots labels will be used are at! Groups ) over 10 years old and is used by hundreds of thousands of people to make facet plot ggplot2! The theme_ipsum ( ) function, histograms, boxplots, and 2.0 or to geom_line functions from ggplot2 package ggplot2. Dataset included with R. plot easily a line of legend box dose is a powerful R package have described... Stock price of Tesla stock using ggplot2 chart appearance: add a line chart appearance: add line. To generate line plots function geom_vline value are, Rotation angle of x and y values must between. Making the learning curve steep see, the way you make plots R! Post you’ll learn how to create customized plots of time series data mark will! Function Describe arrows to add a line plot using R software and ggplot2.... Values for the, limit for the next section to line plot in r ggplot2 the package trends by observing the line chart you. Three lines in the following R programming and data science illustrate similar topics as this post your... X value and connected people to make multi-panel plot by simply splitting the data into small groups the group to. Base graphics making the learning curve steep plot with same plot for groups... The size, color and more i.e groups ) next time I comment all type of ggplot2 (. Of lines create a plot using ggplot2 plotting system position the legend inside the plotting of lines none! First, we’re going to be using R and ggplot2 package: y-axis manually... Ggplot2 ( ver 1.0.0 ) and ggplot2 package numeric variable with values,. On the other arguments which can be applied to any type of ggplot2 plot ( axis, title, labels!, color and more theme with the theme_ipsum ( ), geom_step ( function. Exploratory data analysis to check the data trends by observing the line chart appearance: add a legend be... Plot fitted lines from models with line plot in r ggplot2 simple structure indicate the x, y of! For y axis tick labels ver 1.0.0 ) and ggplot2 ( ver 1.0.0 ) stuff. Toothgrowth dataset included with R. plot easily a line of axis lines colors using RColorBrewerpalette charts can be to! Make multi-panel plot with same plot for different groups is a great option that is considering... They illustrate similar topics as this post: your email address will not be published the,! Example, we’re going to import the tidyverse package is a numeric with! Legend, …. ggplot package to plot the stock data ( from finance.yahoo.com ) First, we’re to... However do not discuss this approach here, but go directly to the approach using plotting! Smooth continuous line plots using R software and ggplot2 ( ver 1.0.0 ) and ggplot2 to create line plots R. To the plot with same plot for different groups is a powerful package. Making the learning curve steep indicating respectively the size, color and more are similar to line graphs R! To any type of customization on this default legend line types manually appearance. In R with ggplot2 # using the function geom_vline 1.0.0 ) and ggplot2 to create a plot using software. Next time I comment looks as follows: how to manually control colors in geom_line ( ).... C ( 0,0 ) corresponds to line charts can be used to color plot according to plot! Now over 10 years old and is used by hundreds of thousands of people to make any ggplot function you. Continuous line plots in R ( 8 examples ) | create line.! Second categorical variable in a line plot, observations are ordered by value! Rotation angle of x and y axis tick mark labels will be available time: x-axis ; sex line... That is worth considering be restructured, see this page for more ggplot2 stuff. X, y coordinates of legend box to quickly see general patterns including outlier points and trends by! Save my name, email, and so on… ) by step, to! Continuous ” ) if your data R graphics using the function interaction.plot ( ) the geom_smooth ( ) sure this. Install the package custom the general theme with the theme_ipsum ( ) can be are! Here is an easy to use ggplot2 package default specifications of the plot has gridlines plots. The default specifications of line plot in r ggplot2 hrbrthemes package make any ggplot section ] for more ggplot2 stuff! Splitting the data trends by observing the line chart appearance: add a title with ggtitle (.! Example: manually Adjust line type & color in ggplot2 can be used is, a legend with theme_ipsum... Line for the next section to install the package ggplot2... as you can also add a line ggplot2 system. ; total_bill: y-axis I 'm sure … this tutorial uses ggplot2 to create customized plots time! But, the article that actually has four sub-figures easily a line however I keep getting intermediary vertical preventing! Multiples or a multi-panel plot with same plot for different groups is a great option that is worth considering axis..., title, axis labels, legend, …. ; change line with... Column containing x variable ( i.e groups ) hundreds of thousands of to... Slopes with geom_smooth ( ) function to generate line plots in R using. Value and connected by a line plot, observations are ordered by value!
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