I have run options shiny. On peut éventuellement transformer cette valeur en la codant sous forme d'une indicatrice, par exemple 0 si healthy et 1 dans l'autre cas. Required arguments are ones that don't have any value pre-specified in the Usage section of the documentation. Or is there another option? Assets : num - 0. Your stumbling block has been the non-numeric data in your data set. Inside it, the function performs an as.
The rest of the vector is the conditioning set. Columns of mode numeric i. Thanks for the explanation, it makes more sense. So, um, given that you've already been pointed in the direction of daisy — why try to make dist work in the first place? Could anyone help me out? If so, why am I not being able to see the distance matrix? Here's the code I was using. Thanks for the feedback, it's been very helpful.
It will help us help you if you can put your issue in the form of a self-contained short for reproducible example install. The first two integers are the indices of variables the correlation of which must be computed. To be more specific, I have created a classification tree, and I want to apply it to that large floating point image all the band names match up and write the prediction probability values to a file. Thank you all so much for your help. Assets : num - 0.
To get the distance matrix I wrote: dist. However, without your exact dataset, I had to generate simulated data. At the top of server. I do not see significant differences between the two R sessions: I do not understand why the warning messages can be different on the two computers. I suspect you may have run a lot of different things and maybe have overwritten your original Data with something else. Quand on veut coder le fait qu'il y a un ordre sur les niveaux, il est plus judicieux de déclarer le facteur comme ordonné argument ordered du constructeur factor. What happens if a decision tree tries to classify a set of input values that are completely outside of the range of the input tree? Sundar Dorai-Raj My guess would be you're trying to convert from character to numeric and are unable to do so.
I work with Windows and use R version 2. I am interested to find out how the call stack could be malfunctioning. Ce type de transformation et le fait que cela devient implicitement une indicatrice est en effet utilisé par certaines procédures cf. Given all of that — what happens if you restart your session, clear your environment, re-create your Data object, and then run the following? Or do I have to address it? Modeling it off of as. If you take a look at , you'll read the following: Compared to dist whose input must be numeric variables, the main feature of daisy is its ability to handle other variable types as well e. To be more specific, I have created a classification tree, and I want to apply it to that large floating point image all the band names match up and write the prediction probability values to a file.
I am new to R and flowCore, so it could be a basic problem I am overlooking. Thank you, Angelica -- View this message in context: Sent from the R help mailing list archive at Nabble. When I am able to catch the warning, it shows that it was provoked by strings of characters going into the as. I am new to R and would appreciate your help. Hi, I have a dataframe that I imported from a.
I have gotten: 1 Error in eval substitute expr , envir, enclos : cncompatible lengths for set aesthetics: fontface, label 2 I have had it just crash. There is a subtle difference between the two ways. But yeah, the point is that that change should not have done anything important. This was a relief, but I still don't know whether the distance matrix is what it should be. My data has 700,000 unique obs so I'm not sure it's a good idea to have a factor variable with this many levels. This just prints the result to the console, but Data hasn't changed data.
I checked this using str PeaksMatrix , as suggested, and the data seem to be what I thought they were: 'data. What happens if a Its hard for me to pinpoint where this is happening, since I'm working on an image that? I do not see significant differences between the two R sessions: I do not understand why the warning messages can be different on the two computers. Although the file contains both characters and numbers. La première commande que j'ai modifiée est: Il s'agit d'un problème de statistiques. I am wondering if I am defining my inputs in improper form? This is subtle R behavior. Although the file contains both characters and numbers.