similar to: SmoothTrend in OpenAir

Greetings - I am working on some data that contain chemical names with air concentrations, and I am creating a data frame with date/time and each chemical having its own column. However, these are organic chemicals (e.g. 1-butene, 2,3,4-trimethylbenzene etc). The package I am going to be using the data with is openair, and many of the great functions require you to specify a column name which

Funciona perfecto! Gracias Carlos. Atte. Novvier Uscuchagua De: Carlos Ortega [mailto:cof en qualityexcellence.es] Enviado el: viernes, 16 de junio de 2017 13:46 Para: Novvier Marco Uscuchagua Cornelio <novvier en outlook.com.pe> CC: r-help-es en r-project.org Asunto: Re: Varios gráficos en una vista en OpenAir Hola, Prueba entonces esto, que sí que funciona... #-----------------------

Hola Carlos, Me parece que timePlot genera los gráficos en un formato diferente. Al ejecutar grid.arrange genera el siguiente error: Error in gList(list(list(plot = list(formula = value ~ date | default, : only 'grobs' allowed in "gList" Gracias. Atte. Novvier Uscuchagua De: Carlos Ortega [mailto:cof en qualityexcellence.es] Enviado el: viernes, 16 de junio de 2017 12:38

Dear Evelina Ballato, ? Tue, 30 Apr 2024 10:36:32 +0000 Evelina Ballato <evelball at arpa.piemonte.it> ?????: > In the Openair package it is possible to restore the import csv file > function? This question is best addressed to the maintainer of the package (see the output of maintainer("openair")) if not to their GitHub issues at

In the Openair package it is possible to restore the import csv file function? it has been removed in the latest versions. Infinitely grateful Evelina Ballato Evelina Ballato Arpa Piemonte Dipartimento Territoriale Piemonte Nord Est - sede di Omegna ************************************************************************ Riservatezza/Confidentiality Ai sensi del Regolamento UE 679/2016, del

Estoy trabajando con el paquete openair y leyendo los datos desde un CSV. Entre los campos que estoy levantando existe uno con el formato dd/mm/YYYY hh:mm por ejemplo: 19/02/2014 12:42 pm Cuando quiero consultar por fechas con las funciones del paquete openair datoscont10<-selectByDate(dato$actualizado, start="01/03/2014", end="09/09/2014") me lista el siguiente mensaje:

Eduardo, Me parece que el problema es el locale para TIME y la interpretación de %p, para no tener ese problema lo que tengo que hacer en mi caso es cambiar LC_TIME: > Sys.getlocale() [1] "LC_COLLATE=Spanish_Argentina.1252;LC_CTYPE=Spanish_Argentina.1252;LC_MONETARY=Spanish_Argentina.1252;LC_NUMERIC=C;LC_TIME=Spanish_Argentina.1252" > Sys.setlocale("LC_TIME",

Sorry, la función por el formato que tienen tus fechas debe de ser "dmy_hms()"... Saludos, Carlos Ortega www.qualityexcellence.es El 25 de septiembre de 2014, 18:14, Eduardo Bieñkowski <edukoski en gmail.com> escribió: > Si lo proceso con date<-ymd_hms(dato$actualizado) no me da error pero la > transformación no es la correcta > > > head(dato$actualizado) >

Estimados como les va. He tratado de profundizar sobre el paquete OPENAIR PARA MANEJO DE DATOS. Sin embargo, cada cosa que intento hacer, por muy pequeña que sea, me tira este error. En definitiva, no he podido hacer absolutamente nada¡¡ He probado de todo, pero ya me estoy aburriendo, a pesar que al parecer es una muy buena herramienta. Saludos. Error in as.POSIXct.default(x) : do not know

I am trying to set up a data set for a survival analysis with time-varying covariates. The data is already in a long format, but does not have a variable to signify the stopping point for the interval. The variable DaysEnrolled is the variable I would like to use to form this interval. This is what I have now: ID Age DaysEnrolled HAZ WAZ WHZ Food onARV

#is there a way to get NA in the table of descriptive statistics instead of the function stopping Thank you in advance #data x.f <- structure(list(Site = structure(c(9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L), .Label = c("BC", "HC", "RM119", "RM148", "RM179", "RM185",

Hello, I have the following loop for two data sets: diveData_2008 and diveData_2009. It uses two other data: diveCond_all and fishTable. The problem is at the point to identify the dive_id for the given index (index is timestamp). It keeps on saying for the1st loop Error in fishReport$dive_id[i] <- dive_id : replacement has length zero for the 2nd loop Error in fishReport$dive_id[i + j] <-

Hi - I am trying to find and describe missing data in a time series. For instance, in the library openair, there is a data frame called "mydata": library(openair) head(mydata) date ws wd nox no2 o3 pm10 so2 co pm25 1 1998-01-01 00:00:00 0.60 280 285 39 1 29 4.7225 3.3725 NA 2 1998-01-01 01:00:00 2.16 230 NA NA NA 37 NA NA NA 3 1998-01-01 02:00:00

merge can only merge two objects at a time- I would like to merge more than two objects at a time. s.d <- structure(list(RiverMile = c(202L, 198L, 190L, 185L, 179L, 148L, 119L, 61L)), .Names = "RiverMile", row.names = c(NA, -8L), class = "data.frame") #s.d is all of the river miles that can occur in all of the data frames that I want to put together feb06 <-

Dear R Team The following line returns 0 (zero) as answer: sum(c(NA_real_, NA_real_, NA_real_, NA_real_), na.rm = TRUE) One would, however, have expected it to return 'NaN', as is the case with function 'mean': > mean(c(NA_real_, NA_real_, NA_real_, NA_real_), na.rm = TRUE) [1] NaN The problem in other words: I have a vector filled with missing numbers. I run the

This is an example of two months of data from a twenty four month data set that I would like to apply this too. These data are subsets of the same stations throught time, but differing ones were included on different sampling dates. I would like to subset these data and then put them together as a big matrix with the by column being RiverMile. What is the easiest way to proceed as this is a

On Linux when I compile R 2.10.0(devel) (src/main/arithmetic.c in particular) with gcc 3.4.5 using the flags -g -O2 I get noncommutative behavior when adding NA and NaN: > NA_real_ + NaN [1] NaN > NaN + NA_real_ [1] NA If I compile src/main/arithmetic.c without optimization (just -g) then both of those return NA. On Windows, using a precompiled R 2.8.1 from CRAN I get NA for

Hi all, Surprisingly (at least to me), `as.complex(NA_real_)` results in `complex(real = NA_real_, imaginary = 0)` rather than `NA_complex_`. It seems to me that this goes against the docs of `as.complex()`, which say this in the Details section: "Up to R versions 3.2.x, all forms of NA and NaN were coerced to a complex NA, i.e., the NA_complex_ constant, for which both the real and

I don't see this specific case documented anywhere (I also tried to search the r-devel archives, as well as I could); the only close reference mentions NA & FALSE = FALSE, NA | TRUE = TRUE. And there's also this snippet from R-lang: In cases where the result of the operation would be the same for all > possible values the NA could take, the operation may return this value. >

I'd like to create a polar plot similar to those created by the polarFreq function in the openair package. However, this package seems to be specific to wind speed and direction, and requires a "ws" (wind speed) and a "wd" (wind direction) column. My data is unrelated to wind speed, but I'd like to be able to get a plot that does what polarFreq's plots do; I'd