Database Management Exam > Database Management Videos > Mastering R Programming: For Data Science and Analytics > How to Add Text to Plots in R (R Tutorial 2.9)
How to Add Text to Plots in R (R Tutorial 2.9) Video Lecture | Mastering R Programming: For Data Science and Analytics - Database Management
FAQs on How to Add Text to Plots in R (R Tutorial 2.9) Video Lecture - Mastering R Programming: For Data Science and Analytics - Database Management
| 1. How can I add text to plots in R? |  |
Ans. To add text to plots in R, you can use the `text()` function. This function allows you to specify the coordinates and the text you want to add. For example, to add the text "Hello World" at coordinates (1, 1) on a plot, you can use the following code:
```
text(1, 1, "Hello World")
```
| 2. Can I specify the font size and color of the text when adding it to plots in R? | |
Ans. Yes, you can specify the font size and color of the text when adding it to plots in R. The `text()` function has additional arguments for specifying these attributes. For example, to add red text with a font size of 12 to a plot, you can use the following code:
```
text(1, 1, "Hello World", col = "red", cex = 1.2)
```
| 3. How can I position the text relative to a specific point on the plot in R? | |
Ans. To position the text relative to a specific point on the plot in R, you can use the `pos` argument of the `text()` function. The `pos` argument takes a numeric value that represents the position relative to the coordinates specified. For example, to position the text above and to the right of the coordinates (1, 1), you can use the following code:
```
text(1, 1, "Hello World", pos = 3)
```
| 4. Is it possible to rotate the text when adding it to plots in R? | |
Ans. Yes, it is possible to rotate the text when adding it to plots in R. The `text()` function has an argument called `srt` which stands for "string rotation". You can specify an angle in degrees to rotate the text. For example, to rotate the text by 45 degrees, you can use the following code:
```
text(1, 1, "Hello World", srt = 45)
```
| 5. Can I add text to specific points on a scatter plot in R? | |
Ans. Yes, you can add text to specific points on a scatter plot in R. You can use the `text()` function and specify the x and y coordinates of the points where you want to add the text. For example, if you have a scatter plot with x values stored in the vector `x` and y values stored in the vector `y`, you can add text to the point (x[1], y[1]) using the following code:
```
text(x[1], y[1], "Hello World")
```
Text Transcript from Video
hi I'm Mike Marin and in this video
we'll talk about how to add some
descriptive text to a plot created in
are quite often one would like to
enhance an existing plot by adding some
descriptive text to the plot we will be
working with the lung capacity data that
was introduced earlier in this series of
videos I've already gone ahead and
imported the data into R and attached it
we will add some text to the plot using
the text and the M text commands to
access the help menu you can type help
and in brackets the name of the command
you'd like help for place a question
mark in front of the command name or you
can type the command name over here in
the help search window first let's go
ahead and make a scatter plot of the
lung capacity versus the age for help
producing a scatter plot you can see my
earlier video on producing scatter plots
in R we will use the plot command and
plot age versus lung cap will also give
this plot a title and we'll call it
scatter plot of lung cap verse age I'm
going to set the la s argument equal to
one to have the values on the y-axis
rotated now let's calculate Pearson's
correlation between the age and the lung
capacity to learn more about the COR
command and calculating correlations in
R you can see my video on correlation in
R now let's go ahead and add some text
to this plot will add some text showing
the correlation between these two
variables we can add text using the TX
command I'm going to set X equal to 5
and y equal to 11 these indicate the x
and y coordinates to place the text at
we can use the label argument to type
the text that we would like to have
appearing in the plot here we're going
to set R equal to 0.82 to have Pearson's
correlation appear there you can note
that this text is centered at the x
equals 5 y equals 11 coordinates
specified we can use the adj or
adjustment argument to have the text
start or end at these XY coordinates for
example if we set the adj argument equal
to zero we can see here that the text
will start at x equals 5 y equals 11
conversely if we set the adj argument
equal to 1 the text will finish at x
equals 5 y equals 11
now let's reproduce this plot again and
this time we'll add the text set in the
x coordinate to be 3.5 the y coordinate
to be 13 will set the adjustment
argument equal to 0 to have the text
starting at these XY coordinates and
we'll have a label of R equals zero
point eight two to have Pearson's
correlation appear on there let's talk
about how we can change the size and the
color of this text I'm going to
reproduce that plot we'll put the text
in the same location here if we set the
c x argument equal to 0.5 this will have
the text appearing as 50% of the default
size and we can change the color using
the co el argument here I'll set the
color equal to 4 to have the color blue
we can also change the font that we'd
like this to appear in using the font
argument I'm going to produce that plot
and let's add that text I'm going to set
the cex argument back to one tab it
plotted at the default size and if we
set the font argument equal to 4 this
will produce bold and italicized font
now we may want to do other things to
enhance this plot for example we might
like to add some lines to the plot and
then label these let's go ahead and add
a horizontal line at the value for the
mean lung capacity here we'll use the AV
line argument if we set h equal to the
mean of the lung capacity this is going
to produce a horizontal line at the y
value for the mean lung capacity and
I'll set the color argument equal to to
have this line red we can make lines
thicker or thinner using the LWD
argument
which specifies the line width here I'll
set the LWD argument equal to two to
have the line width double the default
size and finally we can add in some text
to label this line as the mean lung
capacity again we use the text argument
I'll set the x coordinate to be 2.5 the
y coordinate to be 8.5 we'll set the
adjustment argument equal to zero to
have the text starting at these XY
coordinates we'll set the label to be
the mean lung cap I'm going to set the
cex argument equal to 0.65 to have the
text appearing at 65% of the default
size and we'll set the color argument
equal to two again to have the text
appear in red now let's discuss one
final thing we may want to add text into
the margins of the plot rather than the
body of the plot itself we can do this
using the mtext command let's go ahead
and reproduce that scatter plot and now
let's add some text into the margins
here we can use the mtext command to do
so we set the text argument equal to the
text we would like to have appearing in
our plot here we're going to use the R
equal to 0.82 as we were using before
and we use the side argument to specify
which margin this text should go in
setting sine equal to 1 we'll place the
text on the bottom of the plot if we set
side argument equal to 2 it places the
text on the left side of the plot
similarly setting the side argument to 3
will place the text on the top and
setting it to 4 we'll place the text on
the right also as we saw before we can
use the adj or adjustment argument to
specify where the text will align itself
let's take a look at placing some text
on the bottom again and we can see if we
set the adjustment argument equal to 1
this will place the text on the right
side of the axis if we set the
adjustment argument equal to 0 the text
will be placed on the left side of the
axis and we can use any value between 0
and 1 to spell
if I wear along the access the text
should be placed for example we said to
be 0.75 we can see that the text will
appear 75% of the way to the right
margin also like we saw before we can
change the color the font and the size
of the text using the co l Fon T and the
cex argument let's take a look at that
plot again we're going to use the M text
argument here we'll place that same R
equals to 0.8 to in there and set the
side equal to 3 to have the text
appearing on the top of the plot we'll
set the adjustment argument equal to 1
to have the text right aligned we'll set
the color argument equal to 4 to have
the text is blue I'll set the cex
argument equal to 1.25
to have the text appearing as 25% larger
than the default size and we'll set the
font equal to 4 to have bold and
italicized font you can think of many
different times you may want to add some
text or annotations into a plot to
illuminate certain things these commands
should help you in doing so thanks for
watching this video and make sure to
check out my other instructional videos
we'll talk about how to add some
descriptive text to a plot created in
are quite often one would like to
enhance an existing plot by adding some
descriptive text to the plot we will be
working with the lung capacity data that
was introduced earlier in this series of
videos I've already gone ahead and
imported the data into R and attached it
we will add some text to the plot using
the text and the M text commands to
access the help menu you can type help
and in brackets the name of the command
you'd like help for place a question
mark in front of the command name or you
can type the command name over here in
the help search window first let's go
ahead and make a scatter plot of the
lung capacity versus the age for help
producing a scatter plot you can see my
earlier video on producing scatter plots
in R we will use the plot command and
plot age versus lung cap will also give
this plot a title and we'll call it
scatter plot of lung cap verse age I'm
going to set the la s argument equal to
one to have the values on the y-axis
rotated now let's calculate Pearson's
correlation between the age and the lung
capacity to learn more about the COR
command and calculating correlations in
R you can see my video on correlation in
R now let's go ahead and add some text
to this plot will add some text showing
the correlation between these two
variables we can add text using the TX
command I'm going to set X equal to 5
and y equal to 11 these indicate the x
and y coordinates to place the text at
we can use the label argument to type
the text that we would like to have
appearing in the plot here we're going
to set R equal to 0.82 to have Pearson's
correlation appear there you can note
that this text is centered at the x
equals 5 y equals 11 coordinates
specified we can use the adj or
adjustment argument to have the text
start or end at these XY coordinates for
example if we set the adj argument equal
to zero we can see here that the text
will start at x equals 5 y equals 11
conversely if we set the adj argument
equal to 1 the text will finish at x
equals 5 y equals 11
now let's reproduce this plot again and
this time we'll add the text set in the
x coordinate to be 3.5 the y coordinate
to be 13 will set the adjustment
argument equal to 0 to have the text
starting at these XY coordinates and
we'll have a label of R equals zero
point eight two to have Pearson's
correlation appear on there let's talk
about how we can change the size and the
color of this text I'm going to
reproduce that plot we'll put the text
in the same location here if we set the
c x argument equal to 0.5 this will have
the text appearing as 50% of the default
size and we can change the color using
the co el argument here I'll set the
color equal to 4 to have the color blue
we can also change the font that we'd
like this to appear in using the font
argument I'm going to produce that plot
and let's add that text I'm going to set
the cex argument back to one tab it
plotted at the default size and if we
set the font argument equal to 4 this
will produce bold and italicized font
now we may want to do other things to
enhance this plot for example we might
like to add some lines to the plot and
then label these let's go ahead and add
a horizontal line at the value for the
mean lung capacity here we'll use the AV
line argument if we set h equal to the
mean of the lung capacity this is going
to produce a horizontal line at the y
value for the mean lung capacity and
I'll set the color argument equal to to
have this line red we can make lines
thicker or thinner using the LWD
argument
which specifies the line width here I'll
set the LWD argument equal to two to
have the line width double the default
size and finally we can add in some text
to label this line as the mean lung
capacity again we use the text argument
I'll set the x coordinate to be 2.5 the
y coordinate to be 8.5 we'll set the
adjustment argument equal to zero to
have the text starting at these XY
coordinates we'll set the label to be
the mean lung cap I'm going to set the
cex argument equal to 0.65 to have the
text appearing at 65% of the default
size and we'll set the color argument
equal to two again to have the text
appear in red now let's discuss one
final thing we may want to add text into
the margins of the plot rather than the
body of the plot itself we can do this
using the mtext command let's go ahead
and reproduce that scatter plot and now
let's add some text into the margins
here we can use the mtext command to do
so we set the text argument equal to the
text we would like to have appearing in
our plot here we're going to use the R
equal to 0.82 as we were using before
and we use the side argument to specify
which margin this text should go in
setting sine equal to 1 we'll place the
text on the bottom of the plot if we set
side argument equal to 2 it places the
text on the left side of the plot
similarly setting the side argument to 3
will place the text on the top and
setting it to 4 we'll place the text on
the right also as we saw before we can
use the adj or adjustment argument to
specify where the text will align itself
let's take a look at placing some text
on the bottom again and we can see if we
set the adjustment argument equal to 1
this will place the text on the right
side of the axis if we set the
adjustment argument equal to 0 the text
will be placed on the left side of the
axis and we can use any value between 0
and 1 to spell
if I wear along the access the text
should be placed for example we said to
be 0.75 we can see that the text will
appear 75% of the way to the right
margin also like we saw before we can
change the color the font and the size
of the text using the co l Fon T and the
cex argument let's take a look at that
plot again we're going to use the M text
argument here we'll place that same R
equals to 0.8 to in there and set the
side equal to 3 to have the text
appearing on the top of the plot we'll
set the adjustment argument equal to 1
to have the text right aligned we'll set
the color argument equal to 4 to have
the text is blue I'll set the cex
argument equal to 1.25
to have the text appearing as 25% larger
than the default size and we'll set the
font equal to 4 to have bold and
italicized font you can think of many
different times you may want to add some
text or annotations into a plot to
illuminate certain things these commands
should help you in doing so thanks for
watching this video and make sure to
check out my other instructional videos
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About this Video
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Nov 24, 2024 Last updated |
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