Displaying 8 results from an estimated 8 matches similar to: "quantile regression problem"
2009 Mar 24
3
confidence interval or error of x intercept of a linear regression
Hello all,
This is something that I am sure has a really suave solution in R, but I can't quite figure out the best (or even a basic) way to do it.
I have a simple linear regression that is fit with lm for which I would like to estimate the x intercept with some measure of error around it (confidence interval). In biology, there is the concept of a developmental zero - a temperature under
2005 Jan 11
1
Standard error for the area under a smoothed ROC curve?
Hello,
I am making some use of ROC curve analysis.
I find much help on the mailing list, and I have used the Area Under the
Curve (AUC) functions from the ROC function in the bioconductor project...
http://www.bioconductor.org/repository/release1.5/package/Source/
ROC_1.0.13.tar.gz
However, I read here...
http://www.medcalc.be/manual/mpage06-13b.php
"The 95% confidence interval for
2017 Jul 05
0
Help with reshape/reshape2 needed
This does not use reshape/reshape2, but it is pretty straightforward. Assuming X is your example data:
> Y <- split(X[, 2], X[, 1])
> vals <- sapply(Y, length)
> pad <- max(vals) - vals
> Y2 <- lapply(seq_along(Y), function(x) c(Y[[x]], rep(NA, pad[x])))
> names(Y2) <- names(Y)
> X2 <- do.call(cbind, Y2)
> X2[, 1:6]
1957 1958 1959
2017 Jul 05
0
Help with reshape/reshape2 needed
The reason it doesn't work easily with reshape/reshape2 is that the
order of the rows is not determined. Your answer could be
1957 1958 ... 1985 1986
0.8625000 0.7500000 ... 0.7307692 0.23750000
0.0733945 0.6435644 ... NA 0.05769231
0.5096154 NA ... NA 0.65137615
or
1957 1958 ... 1985 1986
0.0733945 0.6435644 ... NA
2017 Jul 05
4
Help with reshape/reshape2 needed
Hi all:
I'm struggling with getting my data re-formatted using functions in
reshape/reshape2 to get from:
1957 0.862500000
1958 0.750000000
1959 0.300000000
1960 0.287500000
1963 0.675000000
1964 0.937500000
1965 0.025000000
1966 0.387500000
1969 0.087500000
1970 0.275000000
1973 0.500000000
1974 0.362500000
1976 0.925000000
1978 0.712500000
1979 0.337500000
1980 0.700000000
1981 0.425000000
2017 Jul 05
1
Help with reshape/reshape2 needed
Hi Tom,
Or perhaps:
#assume the data frame is named "tadf"
library(prettyR)
stretch_df(tadf,1,2)
Jim
On Thu, Jul 6, 2017 at 6:50 AM, Ista Zahn <istazahn at gmail.com> wrote:
> The reason it doesn't work easily with reshape/reshape2 is that the
> order of the rows is not determined. Your answer could be
>
> 1957 1958 ... 1985 1986
>
2013 Mar 19
1
write random sampling as table output
Hello,
I have a data matrix consists of species as columns and sites as rows.
N Chlamydiae Deferribacteres GN12 Hyd24-12 KSB1 PAUC34f SC4 SPAM Thermi WPS-2 ZB3 AD3 Elusimicrobia GAL15 ABY1_OD1 OP9 Fusobacteria HDBW-WB69 OP11 WS1 SR1 ZB2 AC1 OP3 OP8 NC10 NKB19 TM7 WS3 Gemmatimonadetes Lentisphaerae GN02 Armatimonadetes Tenericutes Spirochaetes Epsilonproteobacteria TM6 Acidobacteria Chlorobi
2009 Sep 02
1
Problems with Boxplot
Hello,
I have been having difficulty getting boxplot to give the output I want -
probably a result of the way I have been handling the data.
The data is arranged in columns: each date has two sets of data. The number
of data points varies with the date, so each column is of different length.
I want to get a series of boxplots with the date along the x-axis, with
alternating colors, so that it