correlation?
1a). Why ltm use non-traditional equation for
bisserial coefficient? Which is significance of this difference?
2). Can I also calculate significance of the biserial correlation
coefficient (p ???; using, probably, t-test) by means of
R-project?
Thank You for advance.
With regard,
Dmitry
Dear R developers,How I can build a histogram from matrix:
0 0.5 1
0.25 34 43 65
1 23 35 54
4 22 29 42
10 21 22 29
20 15 17 20
(first string is represented names of columns,
first column is represented names of rows)
where names of columns should be x-axis labels; respectively
to this, I want
How I can obtain graphics for response surface design,
basing on data:
x: 0.25, 1, 4, 10, 20.
y: 0, 0.5, 1
z1 (for y = 0): 45, 35, 25, 15, 10.
z2 (for y = 0.5): 50, 45, 36, 21, 17.
z3 (for y = 1): 37, 34, 22, 17, 11?
z-values should be scaled in colour (e. g. from red to blue).
I consider to use
I have two types of survival data for Drosophila
cohort. For example:
uncensored
age - c (0, 2, 4, 6, 8, 10)
alive1 - c(10, 9, 6, 3, 1, 0)
alive 2 - c(10, 9, 4, 1, 1, 0)
and censored
age - c(0, 2, 4, 6, 8, 10)
alive1 - c(10, 8, 3, 1, 1, 0)
escaped1 - c(0, 1, 1, 0, 0, 0)
alive2 - c(10, 7,
Does exist any tool in R to solve equations, especially complex
exponential equations?
For example:
y = 100*exp(b*(1-exp(c*x))/c)
If it is so, then what is the package i have to
use and what is algorythm for this solving?
Thank you for advance.
With regard, Dmitry.
I have the data arranged in table (in Excel, or Notepad):
x y
0 100
2 100
4 80
6 40
8 0
I need to transfer these data in R file and then going to
operate with x and y as with variables. I should note, that I
I have the data:
for x: 2, 8, 14, 20, 26, 32, 38, 44, 50, 56, 62, 68, 74,
for y: 100, 99, 99, 98, 97, 94, 82, 66, 48, 38, 22, 10, 1.
y depends on x by equation: y = 100*exp(b*(1-exp(c*x))/c),
where b and c are coefficients. I need to find coefficients in this
equation for given data. How can I do
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