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由于命名空间错误,R 无法加载包预测

转载 作者:行者123 更新时间:2023-12-04 11:50:25 25 4
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我尝试安装所有依赖包,并按照此处另一篇文章中的建议尝试了另一个 repo 源。

R 版本 3.2.0 x64

install.packages("fracdiff")
install.packages("Rcpp")
install.packages("RcppArmadillo")
install.packages("colorspace")
install.packages("forecast", dep=T)
install.packages("forecast", repos=c("http://cran.rstudio.com"),dep=T)
library("forecast")

然后我得到
Loading required package: zoo 
Attaching package: ‘zoo’
The following objects are masked from ‘package:base’:
as.Date, as.Date.numeric

Loading required package: timeDate
Error : .onAttach failed in attachNamespace() for 'forecast', details:
call: fun(libname, pkgname)
error: 4 arguments passed to .Internal(nchar) which requires 3
In addition: Warning message:
package ‘forecast’ was built under R version 3.2.1
Error: package or namespace load failed for ‘forecast’

session 信息()
R version 3.2.0 (2015-04-16)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 8 x64 (build 9200)

locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252

attached base packages:
[1] grid stats graphics grDevices utils datasets methods base

other attached packages:
[1] Hmisc_3.16-0 ggplot2_1.0.1 Formula_1.2-1 survival_2.38-1 lattice_0.20-31 zoo_1.7-12 timeSeries_3012.99 timeDate_3012.100

loaded via a namespace (and not attached):
[1] Rcpp_0.11.6 cluster_2.0.1 magrittr_1.5 MASS_7.3-41 splines_3.2.0 forecast_6.1 munsell_0.4.2
[8] colorspace_1.2-6 quadprog_1.5-5 stringr_1.0.0 plyr_1.8.3 tools_3.2.0 nnet_7.3-9 parallel_3.2.0
[15] gtable_0.1.2 latticeExtra_0.6-26 tseries_0.10-34 digest_0.6.8 gridExtra_0.9.1 RColorBrewer_1.1-2 reshape2_1.4.1
[22] acepack_1.3-3.3 rpart_4.1-9 fracdiff_1.4-2 stringi_0.4-1 scales_0.2.5 foreign_0.8-63 proto_0.3-10

最佳答案

我试图重现。我没有收到有关加载 timeDate 或您看到的错误的消息。我确实收到一条关于加载 pkg:zoo 的消息。该包加载并宣布其版本号。尝试更新到 R 版本 3.2.1,因为这是 nchar 的新参数。介绍:

new$Text[ grep("nchar", news$Text) ]
• nchar(x, *) and nzchar(x) gain a new argument keepNA which governs how the result for NAs in x is determined. For the R 3.2.x series, the default remains FALSE which is fully back compatible. From R 3.3.0, the default will change to keepNA = NA and you are advised to consider this for code portability.

关于由于命名空间错误,R 无法加载包预测,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/30955508/

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