[R] histogram - density on y axis and restriction to interval [0, 1]

] on an histogram. Best regards, Christine Sinoquet __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self

[R] graphical output - customization of x axis

, statistic S1, W, statistic S1, H, statistic S2, W, statistic S2), col = c(blue, green, red, magenta), pch = c(7,15,16,17), bty = n, cex = 0.8, inset = c(0.1, 0.1)) dev.off() I thank you in advance for any help. Best regards, Christine Sinoquet

[R] applying a function over a matrix 2N x M to produce a matrix N x M

. Can somebody help ? I thank you in advance for your answer. Best regards, Christine Sinoquet __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html

[R] trends regarding memory limitations for R use under Linux

. Best regards, Christine Sinoquet __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible

[R] use of ROCR package (ROC curve / AUC value) in a specific case versus integral calculation

for your answer. Best regards, Christine Sinoquet __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self

[R] access to right time unit when checking for time execution

Hello, I really wonder how to distinguish between secs and mins in the example below. In other terms, how can I access the time unit in variable d ? start1 - Sys.time(); stop1 - Sys.time(); d - stop1-start1; print(d); v-unlist(strsplit(as.character(d), split= )); print(v) Time difference

[R] genralized linear regression - function glm - number of

Hello, Performing a linear regression through the function glm (yi ~ X$V1 + X$V2 + X$V3 + X$V4 + X$V5 + X$V6 + X$V7 + X$V8 + X$V9 + X$V10), I then edit the information about the coefficients: print(coefficients(summary(fit))) I note that the number of coefficients (7) is lower than the

[R] generalized linear regression - function glm - dismissed predictors - more information about simulated data

Hello, a) Thanks a lot for the answer relative to the dismissed coefficients. However, the result below has been obtained in the R console and there was no warning (please, see the full display below (***) if you wish). yi ~ X$V1 + X$V2 + X$V3 + X$V4 + X$V5 + X$V6 + X$V7 + X$V8 + X$V9 +

[R] unsubscription

I want to unsuscribe from the R list. Thanks. __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained,

[R] optimized R-selection and R-replacement inside a matrix

Hello, I need to modify some huge arrays (2000 individuals x 50 000 variables). To format the data, I think I should benefit from optimized R-selection and R-replacement inside a matrix and prohibite a naive use of loops. Thank you in advance for providing information about the following

[R] optimized R-selection and R-replacement inside a matrix need, strings coerced to factors

Hello, I need to modify some huge arrays (2000 individuals x 50 000 variables). To format the data, I think I should benefit from optimized R-selection and R-replacement inside a matrix and prohibite a naive use of loops. Thank you in advance for providing information about the following

[R] optimized R-selection and R-replacement inside a matrix need, strings coerced to factors

Hello, I encounter two problems : First, I need to modify some huge arrays (2000 individuals x 50 000 variables). To format the data, I think I should benefit from optimized R-selection and R-replacement inside a matrix and prohibite a naive use of loops. Thank you in advance for