similar to: log-normal distribution and shapiro test

Hi, from what you're writing: "The logaritmic transformation "shapiro.test(log10(y))" says: W=0.9773, p-value= 2.512e-05." it seems the log-values are not distributed normally and so original data are not distributed like a log-normal: the p-value is extremally small! Other tests for normality are available in package: nortest compare the log-transformation of your ecdf

Sigfried, I am not a statistician, but I have learned that according to the Central Limit Theorem (CLT) sums of random variables, regardless of their form, will tend to be normally distributed. CLT does not require the variables in the sum to come from the same underlying distribution. Ciao, Hannu Kahra Progetti Speciali Monte Paschi Asset Management SGR S.p.A. Via San Vittore, 37 IT-20123

Dear Siegfried, I believe your boss is wrong saying that: >He also tried to explain me that the monthly means >(based on the daily measurements) must follow a >log-normal distribution too then over the course of a year. every statistician know that increasing the sample size the sample distribution of the mean is proxy to a gaussian distribution (Central Limit Theorem) independently

Is it the tick labels that you want to change? -----Original Message----- From: "Elisabeth Bjerke Rastad" <ebr024 at post.uit.no> To: "r-help at r-project.org" <r-help at r-project.org> Sent: 5/10/10 11:20 AM Subject: [R] [Fwd: Re: Plotting log-axis with the exponential base to a plot with the default logarithm base 10] Hello! Thank you for answering! What I am

Hello! Thank you for answering! What I am trying to do is to plot my raw values (biomass of different species) on a logaritmic y-axis with the base of e. When I type "log="y"", the axis transforms into a logaritmic axis with the base of 10. Best regards, Elisabeth > Dear Elisabeth, > > I'm not sure if I have understood your question -- are you trying > to

Hello! I have a problem which I have tried to solve for several days now.. I have plottet a lineplot.CI in the library "sciplot", and I am trying to plot it with a logaritmic y-axis (with exponential base). The problem is that; when I type "log "y"", the axis transforms into the logaritmic of base 10. I wonder if someeone could tell me how to specify that I would

Hello Ted! Thank you a lot for your reply!!! I will try to explain again; what I want is a logarithmic scaled y-axis with the base of e (not 10). And the values I would like to use in the plot are the raw values (not transformed in any way). Do you still think that the base of log does not matter in this case (wheather it is e or 10 as a base)? Elisabeth > On 09-May-10 18:10:27, Elisabeth

Hi all! I tried to perform Shapiro-Wilk test for my sample of 243 values. > Us [1] -10.4 -13.1 -12.2 38.1 -18.8 -13.3 -11.7 29.3 49.7 6.8 12.7 16.3 [13] 5.8 -0.7 -29.4 4.1 38.8 -1.4 8.8 15.6 32.9 -5.3 19.1 35.8 [25] 4.0 -1.5 0.6 -4.2 -10.0 -4.0 1.1 48.9 -21.0 -5.3 5.8 -10.8 [37] 21.9 8.2 -3.2 -3.9 -2.3 12.6 -4.7 -8.0 11.8 27.4 -9.5 -20.8 [49]

Hi, I have processed measurements of a rough surface to a heigh-height correlation plot. What the meaning of this exactly is, is not important. Only that it is a plot that had two (almost ) linear parts when plotted on a logaritmic scale. In this plot, I want to draw the best fitting lines for these linear parts but I just can't get it done. It is easy when the scales are linear but as you

Hi there, sorry for troubling everybody once again, I've got a problem rewriting Sarkar's function for rewriting the tick locations in a logaritmic way (s. http://lmdvr.r-forge.r-project.org/code/Chapter08.R): His example works for log 2 but I need log e (natural logarithm). My problem is that if I replace 2 with "e" (using paste()), I get the error message that the location

Hi, Does any one know how we can decide on the correct transformation in (avas and ace) after having drawn the graphs y,g(y) x ,s(x) and g(y) ,s(x) . Is it possible by only looking at patterns the graphs follow for example when y ,g(y) shows a logaritmic pattern can we say that log transform on y is suitable? Thanks for your help. Regards [[alternative HTML version deleted]]

Hello R Users! I'm using lattice to produce some graphs with logaritmic y-scales. I use the command xyplot(hits ~ c(1:1024), data=eichData, type="S", scales=list(y = list(log=10))) to create the plot. This is fine, except for the automatically choosen tick marks. I'd like to have a major tick at the 10^n location and minor ticks in between which correspond with the native

Hey R Users I like to control the ticks and labels in a boxplot as described for a xyplot below (thread in maillinglist in may 2003). Does anybody knows how it works? Thanks in advance Thomas Thread from May 2003 (http://tolstoy.newcastle.edu.au/R/help/03a/5604.html) Hello R Users! I'm using lattice to produce some graphs with logaritmic y-scales. I use the command xyplot(hits ~

Good day, I'm trying to get more time series in one plot. As there are bigger differences in values of variables I need logaritmic y axis. The code I use is the following: nvz_3_data <- read.csv('/home/tomas/R_outputs/nvz_3.csv') date <- (nvz_3_data$date) NO3 <- (nvz_3_data$NO3) NH4 <- (nvz_3_data$NH4) date_p <- as.POSIXct(date, "CET") par(mfrow=c(2,1), ylog

Hi, I have a model, which has a logaritmic response, but there is an offset for this response. I use optimize to find a value to minimise the residuals of the model: f2 <- function(x,df) sum(summary(lm(log((y-x)/Mnd) ~ I(1e+05/(8.617*(Temp + 273.16))), df))$residuals^2) start <- optimize(f2,c(0,min(y)),df=df)$minimum mod <- lm(log((y-start)/Mnd) ~ I(1e+05/(8.617*(Temp + 273.16))), df)

Hello, I have another, more statistic related question. I have several different measurements as an output of an image analysis process (e.g. size, intensity, ... of objects of interests). Now, I would like to quantify the difference for each parameter measured in a special condition comparing to the measurement of a reference condition. If I plot the density distribution (simply calling

Hi everybody, I'm using the method described here to make a linear regression: http://www.apsnet.org/education/advancedplantpath/topics/Rmodules/Doc1/05_Nonlinear_regression.html > ## Input the data that include the variables time, plant ID, and severity > time <- c(seq(0,10),seq(0,10),seq(0,10)) > plant <- c(rep(1,11),rep(2,11),rep(3,11)) > > ## Severity

Hi, I'm using R version 1.2.0 (2000-12-15), on RedHat Linux 6.2 (kernel 2.2.14). The following command ought to plot a straight-line on a log-log graph but instead plots two line segments, both with the wrong slope: plot(c(1,10,100),c(100,10,1),type="l",xlim=c(1,20),ylim=c(1,20),log="xy") Only clipped lines seem to have this problem. Changing to type "b" or

I''m running into a problem with the btrfs-cleaner thread becoming blocked on xfstests 068. The test locks up indefinitely without completing (normally it finished in about 45 seconds on my test box). I''ve replicated the issue on 3.10.0_rc5 and the for-linus branch of 3.9.0. I ran a git bisect on the 3.9.0 for-linus branch, and tracked my issue to the following commit: commit

Both of the following should return NA, but do not in "R version 2.11.0 Under development (unstable) (2010-03-07 r51225)" on 32-bit Windows: > mean(c(1,10,100,NA), trim=.1) Error in sort.int(x, partial = unique(c(lo, hi))) : index 4 outside bounds > mean(c(1,10,100,NA), trim=.26) [1] 55 With na.rm=TRUE they give the correct results. (mean() would be so much simpler