Running examples in ‘tinyscholar-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: tinyscholar
> ### Title: Get Google Scholar Profile
> ### Aliases: tinyscholar
> 
> ### ** Examples
> 
> # Put one unique Scholar ID from Google Scholar
> r <- tinyscholar("FvNp0NkAAAAJ")
Using cache directory: /home/hornik/tmp/scratch/Rtmpp2m0yo/tinyscholar
Cannot find cache file /home/hornik/tmp/scratch/Rtmpp2m0yo/tinyscholar/unsorted_2023-03-18_FvNp0NkAAAAJ.rds
Try quering data from server: hiplot
Timeout/error when use hiplot server. Switch to use the server: cse.
Save data to cache file /home/hornik/tmp/scratch/Rtmpp2m0yo/tinyscholar/unsorted_2023-03-18_FvNp0NkAAAAJ.rds
Done
> r
$publications
                                                                                                                                             title
1                                                        Antigen presentation and tumor immunogenicity in cancer immunotherapy response prediction
2                APOBEC3B and APOBEC mutational signature as potential predictive markers for immunotherapy response in non-small cell lung cancer
3                                                           Sex Differences in Cancer Immunotherapy Efficacy, Biomarkers, and Therapeutic Strategy
4                             The predictive power of tumor mutational burden in lung cancer immunotherapy response is influenced by patients' sex
5       The UCSCXenaTools R package: a toolkit for accessing genomics data from UCSC Xena platform, from cancer multi-omics to single-cell RNA-seq
6                                                                      UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data
7                                 Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization
8           Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes
9                                                 Sigflow: an automated and comprehensive pipeline for cancer genome mutational signature analysis
10                                                                                        Ras downstream effector GGCT alleviates oncogenic stress
11                                              Copy number signature analyses in prostate cancer reveal distinct etiologies and clinical outcomes
12                                                    Pan-cancer noncoding genomic analysis identifies functional CDC20 promoter mutation hotspots
13                                                                           Revisiting neoantigen depletion signal in the untreated cancer genome
14                                                                         Quantification of Neoantigen-Mediated Immunoediting in Cancer Evolution
15                                                   Association of CSMD1 with tumor mutation burden and other clinical outcomes in gastric cancer
16                                                    Can tumor mutational burden determine the most effective treatment for lung cancer patients?
17                                                                       Ezcox: an R/CRAN package for cox model batch processing and visualization
18            Ggct (&#947;&#8208;glutamyl cyclotransferase) plays an important role in erythrocyte antioxidant defense and red blood cell survival
19 Deciphering clonal dynamics and metastatic routines in a rare patient of synchronous triple-primary tumors and multiple metastases with MPTevol
20                                                              Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution
                                                                       authors
1                                           S Wang, Z He, X Wang, H Li, XS Liu
2                                                  S Wang, M Jia, Z He, XS Liu
3                                                    S Wang, LA Cowley, XS Liu
4                                          S Wang, J Zhang, Z He, K Wu, XS Liu
5                                                               S Wang, XS Liu
6       S Wang, Y Xiong, L Zhao, K Gu, Y Li, F Zhao, J Li, M Wang, H Wang, ...
7  J Li, B Miao, S Wang, W Dong, H Xu, C Si, W Wang, S Duan, J Lou, Z Bao, ...
8                S Wang, H Li, M Song, Z Tao, T Wu, Z He, X Zhao, K Wu, XS Liu
9                                                  S Wang, Z Tao, T Wu, XS Liu
10          Z He, S Wang, Y Shao, J Zhang, X Wu, Y Chen, J Hu, F Zhang, XS Liu
11               S Wang, H Li, M Song, Z He, T Wu, X Wang, Z Tao, K Wu, XS Liu
12       Z He, T Wu, S Wang, J Zhang, X Sun, Z Tao, X Zhao, H Li, K Wu, XS Liu
13                             S Wang, X Wang, T Wu, Z He, H Li, X Sun, XS Liu
14      T Wu, G Wang, X Wang, S Wang, X Zhao, C Wu, W Ning, Z Tao, F Chen, ...
15       X Wang, S Wang, Y Han, M Xu, P Li, M Ke, Z Teng, P Huang, Z Diao, ...
16                       S Wang, Z He, X Wang, H Li, T Wu, X Sun, K Wu, XS Liu
17                                                S Wang, XS Liu, J Li, Q Zhao
18                    Z He, X Sun, S Wang, D Bai, X Zhao, Y Han, P Hao, XS Liu
19          Q Chen, QN Wu, YM Rong, S Wang, Z Zuo, L Bai, B Zhang, S Yuan, ...
20      T Wu, G Wang, X Wang, S Wang, X Zhao, C Wu, W Ning, Z Tao, F Chen, ...
                                                        venue citations year
1                                                 eLife, 2019       180 2019
2                           Oncogene 37 (29), 3924-3936, 2018       170 2018
3                               Molecules 24 (18), 3214, 2019       101 2019
4   International journal of cancer 145 (10), 2840-2849, 2019        59 2019
5          Journal of Open Source Software 4 (40), 1627, 2019        36 2019
6                        Bioinformatics 38 (2), 527-529, 2022        35 2022
7           Briefings in bioinformatics 23 (4), bbac261, 2022        33 2022
8                        PLoS Genetics 17 (5), e1009557, 2021        32 2021
9                     Bioinformatics 37 (11), 1590-1592, 2020        16 2020
10                                 Iscience 19, 256-266, 2019         9 2019
11                        medRxiv, 2020.04. 27.20082404, 2020         8 2020
12                              Iscience 24 (4), 102285, 2021         6 2021
13                          bioRxiv, 2020.05. 11.089540, 2020         4 2020
14                   Cancer Research 82 (12), 2226-2238, 2022         3 2022
15 International Journal of General Medicine, 8293-8299, 2021         3 2021
16                  Lung Cancer Management 8 (4), LMT21, 2019         3 2019
17                      arXiv preprint arXiv:2110.14232, 2021         1 2021
18      British Journal of Haematology 195 (2), 267-275, 2021         1 2021
19                   Briefings in Bioinformatics 23 (5), 2022         0 2022
20                          bioRxiv, 2022.04. 08.487711, 2022         0 2022

$citations
   when count
1 total   700
2  2019    36
3  2020   118
4  2021   177
5  2022   306
6  2023    57

attr(,"class")
[1] "ScholarProfile" "list"          
> if (!is.null(r)) {
+   tb <- scholar_table(r)
+   tb$citations
+   tb$publications
+   pl <- scholar_plot(r)
+   pl$citations
+   pl$publications
+ }
Error in vectbl_assign(x[[j]], i, recycled_value[[j]]) : 
  DLL requires the use of native symbols
Calls: scholar_table ... tbl_subassign_row -> withCallingHandlers -> vectbl_assign
Execution halted