Mini Norvina Pro Pigment Palette Vol. 4.50 out of 5 stars (921 reviews) Urban Decay Cosmetics. Naked Cherry Eyeshadow Palette. Colour Book Shadow Palette CB03. 4.00 out of 5 stars (96 reviews) Tarte. Clay Play Face Shaping Palette Vol. Post processing software: chroma v3.1.1 Palette firmware version: 2.1.2 Because I am using Simplify3d + chroma the palette is being used in accessory mode (using an sd card to load the.maf files and start prints). I will not be using mosaic's Canvas slicer, so I can not speak to its quality or how it interacts with the palette.
Ephesians 2:10 says, “For we are God’s masterpiece. He has created us anew in Christ Jesus, so we can do the good things he planned for us long ago.” Yet you may see yourself as anything but a masterpiece. Is there a better way? Yes!
In Life Palette, Dr. Jeffrey Allen Love takes the concepts he’s learned as a
successful painter and as a longtime pastor to teach you that God is the
master artist—but you give Him the palette to dip His brush in and paint
a masterpiece on the canvas of your life. Each chapter gives you practical,
biblical insight you can immediately apply to create a personal Life Palette
(comprised of your decisions and lifestyle choices) that’ll pave the way for
God to paint your life as the masterpiece He created you to be.
successful painter and as a longtime pastor to teach you that God is the
master artist—but you give Him the palette to dip His brush in and paint
a masterpiece on the canvas of your life. Each chapter gives you practical,
biblical insight you can immediately apply to create a personal Life Palette
(comprised of your decisions and lifestyle choices) that’ll pave the way for
God to paint your life as the masterpiece He created you to be.
Discover your endless potential and priceless value! Take out your Life Palette and make it all it needs to be. The master artist is waiting for you.
Someone once said, “The best the world can get is you, being you, with God all over you.” My good friend, Dr. Jeffrey Allen Love, has taken this idea to a new level. In his new book Life Palette, he takes you on a journey of discovery of your God-created, God-designed life. God is the artist and you are the art. Life Palette helps you see yourself the way God sees you. As an artist, a musician, and a pastor, Jeff enlists his heart and art to help us rise above the human tendency of living big lives in small ways. Life Palette empowers you to open up your life and live expansively. After all, you are God’s workmanship…and God don’t make no junk!
Dr. Ed Delph
Nationstrategy, Phoenix, Arizona
For a couple of years, I’ve carried a piece of art canvas around in my wallet where I’ve written “God wants to create a masterpiece on the canvas of my life.” Not until reading Jeff’s book was I able to recognize exactly what that meant or how it would transpire. Jeff Love has led me to discover what my unique life masterpiece looks like, and provided the tools and insight to begin to shape my life into the ultimate design. You’ll find Life Palette beyond inspiring.
Steve Lacy
Founder and CEO, JSL Solutions and creator of StreamingChurch.tv, ChurchApplive.com and MyFlock.com
In his book Life Palette, Jeff takes an imaginative approach to create an artistic metaphor of God’s role as the painter of masterpieces: you and I. Jeff teaches us what qualities and characteristics are necessary on our color palettes, while at the same time giving us a greater understanding of how a painting is made into a masterpiece. This colorful and inspiring book will change the way you view your participation with God in shaping your life into a work of great beauty and light, or by working against Him to become a reflection of a lifeless forgery. Jeff’s teaching approach is direct and simple, like a paint-by-number, yet with a depth requiring an intentional response on our part.
![Book palette 1 3 cc Book palette 1 3 cc](https://verfilmeshd.gratis/__vi__reHqml5rFXo__hqdefault.jpg)
Julie Joiner
Editor
I teach principles of “Intentional Living” and my wife is an accomplished artist, so my interest was piqued when I saw Dr. Love’s book Life Palette. The principles Dr. Love teaches speak to me, and I think they will speak to you as well. Our God is an intentional God, who intentionally loved us so much that He died for us. His intentionality is also proved in how he has gifted each of us to serve Him and one another as we live out our faith. Jeff is a regular contributor to my radio program, and I’m happy to recommend his book as I believe it will help you navigate your own faith journey.
Dr. Randy Carlson
President, Family Life Communications, and Host of the “Intentional Living” radio program.
Picture a painter’s studio, per chance a double car garage, in Tucson, Arizona. As you look around, you see all the accouterments of a skilled painter. There stands the easel and alongside the easel a table and on the table lay the palette, and the varied colors of paints chosen for the day’s work. Brushes and knives are there, also.
Picture a pastor’s study, large mahogany desk, and plush chair. Book shelves are standing from floor to ceiling, full of scholarly books on the Bible and theology, history and apologetics. Undergraduate and graduate degrees line the wall.
These two work places seem worlds apart…and yet not so. Welcome to the studio and study of Dr. Jeffrey Allen Love. You will enter his life and thoughts through the pages of Life Palette. In this book, the paraphernalia from Dr. Love’s studio become metaphorical. The eternal values found in his study come alive as artistic words are used to define them.
Alton B. Tomlin Ph.D.
Life Church, Fort Collins, Colorado
I grew up with an artist: my dad. Unfortunately, his artistic talents did not rub off on me! But it doesn’t matter. Even though I’m not skilled at painting, I can appreciate and learn from others who are. Dr. Jeffrey Allen Love’s Life Palette provides one of those opportunities.
Life Palette is interactive: it shows rather than merely tell. Jeff does a great job of drawing (no pun intended!) the reader into the vivid story of how God gifts each one with their very own, custom-designed, palette for living the life He has designed. You will benefit from reading this book, but you will benefit more by doing what’s in this book.
Steve Tanner
Christian radio announcer and voiceover artist, Tucson, Arizona
As an artist, I can appreciate Jeff’s ability to take his knowledge and experience in painting and use it as an analogy with our walk with God. The choices we make as artists affect our work just as the choices we make in life affect our relationship with God. Just like an artist needs to have a good understanding of what makes a good painting and how to apply it to a canvas, we need to have a good understanding of the Gospel and how to apply it to our lives. Jeff does a great job of showing how a sovereign God can create a masterpiece with our lives, if we will humble ourselves and seek His riches instead of our own.
Phil Starke
Award-winning painter and workshop teacher, Tucson, Arizona(See Phil’s “Between the Palette Scrapings” features throughout this book)
Watch a video of this chapter: Part 1Part 2Part 3Part 4
The default color schemes for most plots in R are horrendous. I am as guilty as anyone of using these horrendous color schemes but I am actively trying to work at improving my habits. R has much better ways for handling the specification of colors in plots and graphs and you should make use of them when possible. But, in order to do that, it’s important to know a little about how colors work in R.
Book Palette 1 3 +
10.1 Colors 1, 2, and 3
Quite often, with plots made in R, you’ll see something like the following Christmas-themed plot.
Figure 5.1: Default colors in R
The reason is simple. In R, the color black is denoted by
col = 1
in most plotting functions, red is denoted by col = 2
, and green is denoted by col = 3
. So if you’re plotting multiple groups of things, it’s natural to plot them using colors 1, 2, and 3.Here’s another set of common color schemes used in R, this time via the
image()
function.Figure 5.2: Image plots in R
10.2 Connecting colors with data
Book Palette 1 3d
Typically we add color to a plot, not to improve its artistic value, but to add another dimension to the visualization (i.e. to “escape flatland”). Therefore, it makes sense that the range and palette of colors you use will depend on the kind of data you are plotting. While it may be common to just choose colors at random, choosing the colors for your plot should require careful consideration. Because careful choices of plotting color can have an impact on how people interpret your data and draw conclusions from them.
10.3 Color Utilities in R
R has a number of utilities for dealing with colors and color palettes in your plots. For starters, the
grDevices
package has two functionscolorRamp
: Take a palette of colors and return a function that takes valeus between 0 and 1, indicating the extremes of the color palette (e.g. see thegray()
function)colorRampPalette
: Take a palette of colors and return a function that takes integer arguments and returns a vector of colors interpolating the palette (likeheat.colors()
ortopo.colors()
)
Both of these functions take palettes of colors and help to interpolate between the colors on the palette. They differ only in the type of object that they return.
Launchbar 6 11 12. Finally, the function
colors()
lists the names of colors you can use in any plotting function. Typically, you would specify the color in a (base) plotting function via the col
argument.10.4colorRamp()
For both
colorRamp()
and colorRampPalette()
, imagine you’re a painter and you have your palette in your hand. On your palette are a set of colors, say red and blue. Now, between red and blue you can a imagine an entire spectrum of colors that can be created by mixing together different amounts of read and blue. Both colorRamp()
and colorRampPalette()
handle that “mixing” process for you.Let’s start with a simple palette of “red” and “blue” colors and pass them to
colorRamp()
.Notice that
pal
is in fact a function that was returned by colorRamp()
. When we call pal(0)
we get a 1 by 3 matrix. The numbers in the matrix will range from 0 to 255 and indicate the quantities of red, green, and blue (RGB) in columns 1, 2, and 3 respectively. Simple math tells us there are over 16 million colors that can be expressed in this way. Calling pal(0)
gives us the maximum value (255) on red and 0 on the other colors. So this is just the color red.We can pass any value between 0 and 1 to the
pal()
function.You can also pass a sequence of numbers to the
pal()
function.The idea here is that
colorRamp()
gives you a function that allows you to interpolate between the two colors red and blue. You do not have to provide just two colors in your initial color palette; you can start with multiple colors and colorRamp()
will interpolate between all of them.10.5colorRampPalette()
The
colorRampPalette()
function in manner similar to colorRamp(()
, however the function that it returns gives you a fixed number of colors that interpolate the palette.Again we have a function
pal()
that was returned by colorRampPalette()
, this time interpolating a palette containing the colors red and yellow. But now, the pal()
function takes an integer argument specifing the number of interpolated colors to return.Note that the colors are represented as hexadecimal strings. After the # symbol, the first two characters indicate the red amount, the second two the green amount, and the last two the blue amount. Because each position can have 16 possible values (0-9 and A-F), the two positions together allow for 256 possibilities per color. In this example above, since we only asked for two colors, it gave us red and yellow, the two extremes of the palette.
Book Palette 1 3 X 4
We can ask for more colors though.
Book Palette 1 3 Cc
You’ll see that the first color is still red (“FF” in the red position) and the last color is still yellow (“FF” in both the red and green positions). But now there are 8 more colors in between. These values, in hexadecimal format, can also be specified to base plotting functions via the
col
argument.Note that the
rgb()
function can be used to produce any color via red, green, blue proportions and return a hexadecimal representation.10.6 RColorBrewer Package
Part of the art of creating good color schemes in data graphics is to start with an appropriate color palette that you can then interpolate with a function like
colorRamp()
or colorRampPalette()
. One package on CRAN that contains interesting and useful color palettes is the RColorBrewer
package.The
RColorBrewer
packge offers three types of palettes- Sequential: for numerical data that are ordered
- Diverging: for numerical data that can be positive or negative, often representing deviations from some norm or baseline
- Qualitative: for qualitative unordered data
All of these palettes can be used in conjunction with the
colorRamp()
and colorRampPalette()
.Here is a display of all the color palettes available from the
RColorBrewer
package.Figure 6.1: RColorBrewer palettes
10.7 Using the RColorBrewer palettes
The only real function in the
RColorBrewer
package is the brewer.pal()
function which has two argumentsname
: the name of the color palette you want to usen
: the number of colors you want from the palette (integer)
Below we choose to use 3 colors from the “BuGn” palette, which is a sequential palette.
Those three colors make up my initial palette. Then I can pass them to
colorRampPalette()
to create my interpolating function.Now I can plot the
volcano
data using this color ramp. Note that the volcano
dataset contains elevations of a volcano, which is continuous, ordered, numerical data, for which a sequential palette is appropriate.Figure 10.1: Volcano data with color ramp palette
10.8 The smoothScatter()
function
A function that takes advantage of the color palettes in
RColorBrewer
is the smoothScatter()
function, which is very useful for making scatterplots of very large datasets. The smoothScatter()
function essentially gives you a 2-D histogram of the data using a sequential palette (here “Blues”).Figure 6.4: smoothScatter function
10.9 Adding transparency
Color transparency can be added via the
alpha
parameter to rgb()
to produce color specifications with varying levels of transparency. When transparency is used you’ll notice an extra two characters added to the right side of the hexadecimal representation (there will be 8 positions instead of 6).For example, if I wanted the color red with a high level of transparency, I could specify
Transparency can be useful when you have plots with a high density of points or lines. For example, teh scatterplot below has a lot of overplotted points and it’s difficult to see what’s happening in the middle of the plot region.
If we add some transparency to the black circles, we can get a better sense of the varying density of the points in the plot.
Better, right?
10.10 Summary
- Careful use of colors in plots, images, maps, and other data graphics can make it easier for the reader to get what you’re trying to say (why make it harder?).
- The
RColorBrewer
package is an R package that provides color palettes for sequential, categorical, and diverging data - The
colorRamp
andcolorRampPalette
functions can be used in conjunction with color palettes to connect data to colors - Transparency can sometimes be used to clarify plots with many points