Displaying 20 results from an estimated 8000 matches similar to: "in cor.test, difference between exact=FALSE and exact=NULL"
2004 Apr 09
6
Incorrect handling of NA's in cor() (PR#6750)
Full_Name: Marek Ancukiewicz
Version: 1.8.1
OS: Linux
Submission from: (NULL) (132.183.12.87)
Function cor() incorrectly handles missing observation with method="spearman":
> x <- c(1,2,3,NA,5,6)
> y <- c(4,NA,2,5,1,3)
> cor(x,y,use="complete.obs",method="s")
[1] -0.1428571
>
2009 Nov 30
1
cor.test(method = spearman, exact = TRUE) not exact (PR#14095)
Full_Name: David Simcha
Version: 2.10
OS: Windows XP Home
Submission from: (NULL) (173.3.208.5)
> a <- c(1:10)
> b <- c(1:10)
> cor.test(a, b, method = "spearman", alternative = "greater", exact = TRUE)
Spearman's rank correlation rho
data: a and b
S = 0, p-value < 2.2e-16
alternative hypothesis: true rho is greater than 0
sample estimates:
2010 Feb 08
2
Incorrect Kendall's tau for ordered variables (PR#14207)
Full_Name: Marek Ancukiewicz
Version: 2.10.1
OS: Linux
Submission from: (NULL) (74.0.49.2)
Both cor() and cor.test() incorrectly handle ordered variables with
method="kendall", cor() incorrectly handles ordered variables for
method="spearman" (method="person" always works correctly, while
method="spearman" works for cor.test, but not for cor()).
In
2010 Jun 08
2
cor.test() -- how to get the value of a coefficient
Hi, all.
Yet another beginner to R : )
I wonder, how it's possible to get the value of a coefficient from the
object produced by cor.test() ?
> cor.test(a, b, method="spearman")
Spearman's rank correlation rho
data: a and b
S = 21554.28, p-value = 2.496e-11
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
0.6807955
Warning message:
In
2010 Jun 09
1
bug? in stats::cor for use=complete.obs with NAs
Arrrrr,
I think I've found a bug in the behavior of the stats::cor function when
NAs are present, but in case I'm missing something, could you look over
this example and let me know what you think:
> a = c(1,3,NA,1,2)
> b = c(1,2,1,1,4)
> cor(a,b,method="spearman", use="complete.obs")
[1] 0.8164966
> cor(a,b,method="spearman",
2004 Aug 30
1
Wrong result with cor(x, y, method="spearman", use="complete.obs") with NA's???
Hallo!
Is there an error in cor to calculate Spearman
correlation with cor if there are NA's? cor.test gives
the correct result. At least there is a difference.
Or am I doing something wrong???
Does anybody know something about this?
a<-c(2,4,3,NA)
b<-c(4,1,2,3)
cor(a, b, method="spearman", use="complete.obs")
# -0.9819805
cor.test(a, b,
2008 Sep 10
3
making spearman correlation cor() call fail with log(0) as input
Hi,
How can I make the cor(x, y, method="spearman") call to produce an
error when the input to it (x, y) produces an error? Here is a simple
example:
> a <- c(0, 1, 2)
> b <- c(100, 2, 4)
## error:
> log(a)
[1] -Inf 0.0000000 0.6931472
## error, as expected:
> cor(log(a), log(b), method="pearson")
[1] NaN
## not an error any more (not expected):
>
2023 Nov 15
1
Cannot calculate confidence intervals NULL
I believe the problem is here:
cor1 <- cor(x1, y1, method="spearman")
cor2 <- cor(x2, y2, method="spearman")
The x's and y's are not looked for in data (i.e. NSE) but in the
environment where the function was defined, which is standard evaluation.
Change the above to:
cor1 <- with(d, cor(x1, y1, method="spearman"))
cor2 <- with(d, cor(x2, y2,
2003 Oct 22
6
Something strange in cor.test in R-1.8.0 (PR#4718)
Full_Name: Ian Wilson
Version: R-1.8.0
OS: Windows (but own compilation)
Submission from: (NULL) (139.133.7.38)
the p-value is incorrect for cor.test using method "spearman" in R-1.8.0. This
was not the case in R-1.7.1.
Version R-1.8.0 on Windows
> cor.test(rnorm(50),rnorm(50),method="spearman")
Spearman's rank correlation rho
data: rnorm(50) and rnorm(50)
S
2007 Aug 16
3
multiple colors within same line of text
Hi, I'm interested in using mtext(), but with the option of having multiple
colors in the same line of text.
For example, creating a line of text where:
Red is red and blue is blue
How do you create a text argument that lets you do this within mtext()?
Thanks,
Andrew
MGH Cancer Center
[[alternative HTML version deleted]]
2023 Nov 15
2
Cannot calculate confidence intervals NULL
R-Experts,
Here below my R code working without error message but I don't get the results I am expecting.
Here is the result I get:
[1] "All values of t are equal to 0.28611928397257 \n Cannot calculate confidence intervals"
NULL
If someone knows how to solve my problem, really appreciate.
Best,
S
#########################################################
# Difference in Spearman
2009 Apr 17
1
Turning off warnings from cor.test
I would like to turn off the warnings from cor.test while retaining
exact=NULL. Is that possible ?
> cor.test(c(1,2,3,3,4,5), c(1,2,3,3,4,5), method = "spearman")
Spearman's rank correlation rho
data: c(1, 2, 3, 3, 4, 5) and c(1, 2, 3, 3, 4, 5)
S = 0, p-value < 2.2e-16
alternative hypothesis: true rho is not equal to 0
sample estimates:
rho
1
Warning message:
In
2003 Apr 01
2
cor.test observations limit
Hi,
Is there a limit on the number of observations for using cor.test. For
example,
> library(ctest)
> cor.test(rnorm(3000), rnorm(3000), method="spearman")
Error in if (q > (n^3 - n)/6) pspearman(q - 1, n, lower.tail = FALSE) else
pspearman(q, :
missing value where logical needed
In addition: Warning message:
NAs introduced by coercion
I mainly want to calculate
2004 Mar 03
1
cor(..., method="spearman") or cor(..., method="kendall") (PR#6641)
Dear R maintainers,
R is great. Now that I have that out of the way, I believe I have
encountered a bug, or at least an inconsistency, in how Spearman and
Kendall rank correlations are handled. Specifically, cor() and
cor.test() do not produce the same answer when the data contain NAs.
cor() treats the NAs as data, while cor.test() eliminates them. The
option
use="complete.obs" has
2008 Jun 19
3
how to extract object from stats test output (cor.test)?
Hello,
Is there a way to extract output objects from a stats test without viewing
the entire output? I am trying to do so in the following:
define a vector of length j
for( i in 1: length (vector)) {
vector[i] = cor.test (datavector1, datavector2[i], method=("spearman"))
}
I would like the reported Spearman's rho to be saved in a vector. I have
tried a few different ways of
2011 May 16
2
about spearman and kendal correlation coefficient calculation in "cor"
Hi,
I have the following two measurements stored in mat:
> print(mat)
[,1] [,2]
[1,] -14.80976 -265.786
[2,] -14.92417 -54.724
[3,] -13.92087 -58.912
[4,] -9.11503 -115.580
[5,] -17.05970 -278.749
[6,] -25.23313 -219.513
[7,] -19.62465 -497.873
[8,] -13.92087 -659.486
[9,] -14.24629 -131.680
[10,] -20.81758 -604.961
[11,] -15.32194 -18.735
To calculate the ranking
2006 Sep 13
1
S in cor.test(..., method="spearman")
Dear HelpeRs,
I have some data:
"ice" <- structure(c(0.386, 0.374, 0.393, 0.425, 0.406, 0.344,
0.327, 0.288, 0.269, 0.256, 0.286, 0.298, 0.329, 0.318, 0.381,
0.381, 0.47, 0.443, 0.386, 0.342, 0.319, 0.307, 0.284, 0.326,
0.309, 0.359, 0.376, 0.416, 0.437, 0.548, 41, 56, 63, 68,
69, 65, 61, 47, 32, 24, 28, 26, 32, 40, 55, 63, 72, 72, 67,
60, 44, 40, 32, 27, 28, 33,
2005 Oct 07
1
cor() function, method="spearman"
Hello,
Does anyone know if the cor function, when method = "spearman", returns a correlation coefficient corrected for any ties in the ranks of the data? I have data with quite a few ties and am thinking that I should use a calculation of the coefficient corrected for ties, but before I try and code this calculation myself, I thought I should check whether or not cor() automatically
2003 Nov 07
2
Bug in cor.test - Spearman
Greetings.
There seems to be a problem with the P-value computation in the
cor.test with method="spearman". In R1.8.0 (MS Windows) I
seem to be getting intermittently nonsense P-values, but the rho's
are OK. I can get this reproducibly with the toy example attached
where the first use is OK and subsequent calls with the same data
give nonsense. (I have also seen the problem
2006 May 24
0
the computation of exact p-value for the nonparametric cor-test with ties
Hello,
I wuold like to propose my modifications of the original cor.test to you : I
tried to calcolate the correct p-value for Spearman and Kendall's test with
ties.
Let me know what you think.
Thanks you for your time.
Antonietta di Salvatore
test <- function(x, ...) UseMethod("test")
test.default <-
function(x, y, alternative = c("two.sided",