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Windows 10 - 64bit - error #15

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martindut opened this issue Feb 19, 2019 · 1 comment
Open

Windows 10 - 64bit - error #15

martindut opened this issue Feb 19, 2019 · 1 comment

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@martindut
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Hi
I'm getting the below error when I try to install fundManageR. The error is referring to Win32, although I have a 64bit system. tabulizer is installed and is working fine. I'm not sure how to tackle this issue. Any help would be much appreciated.

Error: package or namespace load failed for 'fundManageR':
.onLoad failed in loadNamespace() for 'tabulizerjars', details:
call: NULL
error: .onLoad failed in loadNamespace() for 'rJava', details:
call: inDL(x, as.logical(local), as.logical(now), ...)
error: unable to load shared object 'C:/Users/MartinduToit/Documents/R/win-library/3.5/rJava/libs/i386/rJava.dll':
LoadLibrary failure: %1 is not a valid Win32 application.

R version 3.5.2 (2018-12-20)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17134)

Matrix products: default

locale:
[1] LC_COLLATE=English_South Africa.1252 LC_CTYPE=English_South Africa.1252
[3] LC_MONETARY=English_South Africa.1252 LC_NUMERIC=C
[5] LC_TIME=English_South Africa.1252

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

other attached packages:
[1] shiny_1.2.0.9001 tabulizer_0.2.2

loaded via a namespace (and not attached):
[1] Rcpp_1.0.0 compiler_3.5.2 later_0.8.0.9000 prettyunits_1.0.2 remotes_2.0.2.9000
[6] tools_3.5.2 testthat_2.0.1 digest_0.6.18 packrat_0.5.0 pkgbuild_1.0.2
[11] pkgload_1.0.2 jsonlite_1.6 memoise_1.1.0 png_0.1-7 rlang_0.3.1
[16] cli_1.0.1 curl_3.3 rJava_0.9-10 withr_2.1.2 desc_1.2.0
[21] fs_1.2.6 devtools_2.0.1.9000 rprojroot_1.3-2 glue_1.3.0 R6_2.4.0
[26] processx_3.2.1 sessioninfo_1.1.1 callr_3.1.1 magrittr_1.5 backports_1.1.3
[31] tabulizerjars_1.0.1 ps_1.3.0 promises_1.0.1 htmltools_0.3.6 usethis_1.4.0.9000
[36] assertthat_0.2.0 mime_0.6 xtable_1.8-3 httpuv_1.4.5.9003 miniUI_0.1.1.1
[41] crayon_1.3.4 Cairo_1.5-9

@Suedtirol618
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Uninstall R

  1. Reinstall R but only selecting one architecture. Example, x64, or x86, but not both. That tends to
    2 .confuse R or RStudio when they are compiling.

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