Displaying 4 results from an estimated 4 matches for "mean_temp".
2009 Jul 16
1
Theil test help
...t I can compute the distribution free test for the slope of a postulated regression line (Theil test). As I am testing the null hypothesis that slope = 0 against the general alternative the slope does not equal 0, it should be pretty straight-forward.
I have a data frame as follows;
index Score Mean_Temp SD_Mean_Temp
i 10 3.7 0.65
i+1 12 7.5 2.11
i+2 6 10.3 0.85
... ... ... ...
n 8 12.6 4.2
The first question is how can I compute the n(n-1)/2 differences between Score i and Score j where i is from 1 to (n-1) and j is from (i+1) to n? I would then like R to spit out the differences in a file...
2012 May 10
1
envfit output (vegan package) - not sure what it means
...m pretty new to R and would appreciate some help interpreting the output of
a function that was recommended to me.
I've used the *envfit *function in the vegan package to plot vectors of four
climate variables onto a species matrix ordination. The output indicates
that only a single variable (mean_temp) is significant:
***VECTORS
NMDS1 NMDS2 r2 Pr(>r)
precip 0.41539 -0.90964 0.2948 0.112887
wind -0.61937 0.78510 0.0441 0.763237
temp_mean 0.50571 -0.86270 0.5839...
2023 Feb 21
1
Interpolación IDW
...t[ ,
1]) coordinates(grid) <- ~x+y gridded(grid) <- T grid <-
raster(grid, "valores") projection(grid) <- crs("+init=epsg:9377")
path <- 'C:/Users/David Gomez/Desktop/TESIS/DATOS/RESULTS/' numeration
<- as.character(i) name <- "MEAN_TEMP" exten <- ".tif"
writeRaster(grid, paste(path, name, numeration, exten), overwrite = T)}*
No entiendo muy bien a qué parte hace énfasis el error.
Quedo atento, gracias.
Saludos.
On Mon, 20 Feb 2023 at 02:11, Emilio L. Cano <emilopezcano en gmail.com> wrote:
> Hola...
2012 Aug 04
2
how to assing unique ID in a table and do regression
Hi R- User
I have very big data set (5000 rows). I wanted to make classes based on a column of that table (that column has the data which is continuous .) After converting into different class, this class would be Unique ID. I want to run regression for each ID.
For example I have a data set
> dput(dat)
structure(list(ID = c(0.1, 0.8, 0.1, 1.5, 1.1, 0.9, 1.8, 2.5,
2, 2.5, 2.8, 3, 3.1, 3.2,