similar to: Information installation package sjPlot

Displaying 20 results from an estimated 300 matches similar to: "Information installation package sjPlot"

2018 Jan 11
0
Information installation package sjPlot
That is very strange. I am using Ubuntu 16.04 and managed to install it in less than 5 minutes. OA On Wed, Jan 10, 2018 at 12:00 PM, Luca Danieli <mr.lucedan at hotmail.it> wrote: > Hi all, > > I am new. I am installing the library sjPlot on Ubunto 16.10 and I guess > it is installing some dependencies. But it is taking more than 1.5 hours, > is it possible? > > It
2018 Jul 01
2
Installing sjPlot in R 3.4.4 on Ubuntu 16.04LTS
Dear all, I have had some rather serious difficulties getting graphics and analysis packages to load in R on my new Ubuntu Install. The trouble seems to begin when attempting to install TMB. I have done a full purge of r-base r-base-dev and r-base-core and reinstalled the newest version of RStudio (not that this should matter). I'm not sure what to try next. many thanks! Brandon Z >
2017 Oct 18
1
dygraphs, multiple graphs and shiny
Hi All: This is really getting into the weeds, but I am hoping someone will have a solution. I am trying to use dygrahs for R, within Shiny. The situation arises when I am combining a number of dygraphs into one plot. If I am just in an RNotebook, if you look at: https://stackoverflow.com/questions/30509866/for-loop-over-dygraph-does-not-work-in-r the solution to have the plot shown from a
2016 Feb 03
3
rstan warning messages
On 02/03/2016 09:52 AM, Tom Callaway wrote: > Are you trying to build R and components for i686 rather than x86_64? Never mind. Your logs make it clear that you're building for x86_64. Can you share the output of: pkg-config --list-all |grep libcurl curl-config --libs rpm -V libcurl-devel libcurl I'm honestly baffled as to why the configure script is failing to find libcurl.pc on
2016 Jan 27
2
rstan warning messages
RHEL 6 installed R version 3.2.3 from EPEL installed Start R and use the following command, but got warnings! install.packages("rstan", dependencies = TRUE, repos = "http://cran.r-project.org/") ... g++ -m64 -shared -L/usr/lib64/R/lib -L/usr/local/lib64 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -L/usr/lib64/R/lib -lRlapack -L/usr/lib64/R/lib -lRblas -lgfortran -lm
2024 Feb 24
1
Interactions in regression
Hi All, I stumbled upon some topics regarding interactions in anova and regression and packages for tabulating and visualizations the results of them. Here we are: https://stackoverflow.com/questions/77933272/how-to-add-a-reference-level-for-interaction-in-gtsummary-and-sjplot/77935742#77935742 ,
2016 Feb 01
2
rstan warning messages
Got past my libgfortran issue ln -s /usr/lib64/libgfortran.so.3 /usr/lib/libgfortran.so Now if I could get RCurl and rstan installed. Thanks, Larry -----Original Message----- From: Tom Callaway [mailto:tcallawa at redhat.com] Sent: Friday, January 29, 2016 2:46 PM To: Patrick, Larry B [CSSM] <longplay at iastate.edu>; 'r-sig-fedora at r-project.org' <r-sig-fedora at
2024 Feb 25
1
Interactions in regression
It is trivial in R to add whatever decorations to a plot that you would like, but that requires that you go beyond point and click production of graphics and write actual code. If you are unwilling or unable to do this, you are stuck with whatever various packaged graphics functionality provides.So you might want to search on "interaction plots for linear models in R" or similar at
2017 Sep 27
1
need held in r coding.
Need Help in Debugging below script:-------------------------------- dat <- get_majorlandmarks(dat,Dmin,Per) fit_xts <- xts(dat$fit,order.by = dat$Date,frequency = 365) close_xts <- xts(dat$Close, order.by = dat$Date, frequency = 365 ) majorlandmarks_xts <-xts(dat$Close[dat$majorlandmarks==TRUE], order.by = dat$Date[dat$majorlandmarks==TRUE], frequency = 365 ) minorlandmarks_xts
2016 Jan 28
2
rstan warning messages
Looks to have libgfortran installed. yum list installed | grep libgfortran libgfortran.x86_64 4.4.7-16.el6 @rhel-x86_64-server-6 What else could I check? Installed libcurl-devel and libidn-devel. yum list installed | grep libcurl libcurl.x86_64 7.19.7-46.el6 @rhel-x86_64-server-6 libcurl-devel.x86_64
2024 Sep 27
1
Disabling S4 primitive dispatch during method resolution affects namespace load actions
Hello, This problem originally surfaced as an interaction between 'brms', 'rstan' and 'Rcpp' [1]: a call to dimnames() from the 'brms' package on an object of an S4 class owned by the 'rstan' package tried to load its namespace. rstan:::.onLoad needs to load Rcpp modules, which uses load actions and reference classes. Since methods:::.findInheritedMethods
2018 Apr 09
3
Warning en modelo ZINB
¿Quieres decir que para un nivel de una variable categorica todas las observaciones de la variable respuesta sean ceros? Gracias El Lun, 9 de Abril de 2018, 19:59, Carlos J. Gil Bellosta escribió: > ¿Podría ser que para algún nivel de alguna variable independiente > categórica solo hubiese ceros? En ese caso, casi seguro, aparecería ese > tipo de warning. > > El lun., 9 abr. 2018 a
2018 Apr 09
2
Warning en modelo ZINB
Muchas gracias por la respuesta. He mirado y los coeficientes no son altos pero sí tengo una gran cantidad de ceros en la variable dependiente (más del 90%). Sin embargo, al incluir otro tipo de variables independientes no me da ese aviso, dejando la misma variable dependiente. ¿Cómo podría utilizar stan/rstan de forma sencilla para diagnosticar el modelo? Muchas gracias El Lun, 9 de Abril de
2014 Aug 27
3
pregunta
Estimados ¿Existe en R alguna manera de que las tablas de estadística descriptiva como las de codebook de epicalc, salgan en una tabla como las de SPSS ? Saludos José -- Nunca digas nunca, di mejor: gracias, permiso, disculpe. Este mensaje le ha llegado mediante el servicio de correo electronico que ofrece Infomed para respaldar el cumplimiento de las misiones del Sistema Nacional de
2024 Sep 27
1
Disabling S4 primitive dispatch during method resolution affects namespace load actions
>>>>> Ivan Krylov via R-devel >>>>> on Fri, 27 Sep 2024 13:32:27 +0300 writes: > Hello, > This problem originally surfaced as an interaction between 'brms', > 'rstan' and 'Rcpp' [1]: a call to dimnames() from the 'brms' package on > an object of an S4 class owned by the 'rstan' package tried to
2018 May 23
1
patch for scan.c for long vector support
I noticed that scan.c does not yet support long vectors. It was causing a problem in the rstan library (https://github.com/stan-dev/rstan/issues/530) I was able to patch base R to add long vector support. See the following gist. https://gist.github.com/aaronjg/f39e5966687ca004dab5a10e7655c648 I could not make a bugzilla account, so I am sending the patch here. [[alternative HTML version
2017 Nov 11
5
Primer for working with survey data in R
I am taking a behavioral stats graduate class and the instructor is using SPSS. I'm trying to follow along in R. Recently in class we started working with scales and survey data, computing Cronbach's Alpha, reversing values for reverse coded items, etc. Also, SPSS has some built in functionality for entering the meta-data for your survey, e.g. the possible values for items, the text of
2018 Apr 09
2
Warning en modelo ZINB
Buenas tardes, Estoy estimando un modelo binomial negativo de ceros inflados (ZINB) utilizando el comando zeroinfl() del paquete pscl. Al ejecutarlo me da el siguiente aviso: Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred ¿Sabéis que significa y si puedo usar el modelo aún con ese aviso? ¿Los coeficientes son fiables? Muchas gracias, Miriam
2020 Oct 26
2
Ubuntu 20.10
Hi Dirk, One side observation: r-cran debian now seems to be in Ubuntu 20.10 Universe so I don't need to add the repo any more. Here is a reproducible example that fails with the latest r-cran-rcppparallel but works when I manually install the source package: require(rstan) stancode <- 'data {real y_mean;} parameters {real y;} model {y ~ normal(y_mean,1);}' mod <-
2024 Jul 03
1
tab_corr(df[,2:6], p.numeric = TRUE)
En R me sale bien la tabla en R studio no se muestra la tabla , poe favor ayuda! library(sjPlot) tab_corr(df[,2:6], p.numeric = TRUE) -- saludos Jose [[alternative HTML version deleted]]