CRAN Package Check Results for Package gammi

Last updated on 2024-11-24 09:50:25 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1 10.11 88.16 98.27 OK
r-devel-linux-x86_64-debian-gcc 0.1 7.02 63.87 70.89 OK
r-devel-linux-x86_64-fedora-clang 0.1 153.71 OK
r-devel-linux-x86_64-fedora-gcc 0.1 148.71 OK
r-devel-windows-x86_64 0.1 10.00 98.00 108.00 OK
r-patched-linux-x86_64 0.1 9.24 86.37 95.61 OK
r-release-linux-x86_64 0.1 9.39 86.75 96.14 OK
r-release-macos-arm64 0.1 46.00 OK
r-release-macos-x86_64 0.1 118.00 OK
r-release-windows-x86_64 0.1 9.00 97.00 106.00 OK
r-oldrel-macos-arm64 0.1 40.00 ERROR
r-oldrel-macos-x86_64 0.1 87.00 ERROR
r-oldrel-windows-x86_64 0.1 13.00 101.00 114.00 ERROR

Check Details

Version: 0.1
Check: examples
Result: ERROR Running examples in ‘gammi-Ex.R’ failed The error most likely occurred in: > ### Name: exam > ### Title: Cross-Classified Examination Data > ### Aliases: exam > ### Keywords: datasets > > ### ** Examples > > # load 'exam' help file > ?exam exam package:gammi R Documentation _<08>C_<08>r_<08>o_<08>s_<08>s-_<08>C_<08>l_<08>a_<08>s_<08>s_<08>i_<08>f_<08>i_<08>e_<08>d _<08>E_<08>x_<08>a_<08>m_<08>i_<08>n_<08>a_<08>t_<08>i_<08>o_<08>n _<08>D_<08>a_<08>t_<08>a _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Scores on secondary school leaving examinations (response) and verbal reasoning scores in primary school (fixed effect) for 3435 students in Fife, Scotland. The students are cross-classified in 148 primary schools (random effect) and 19 secondary schools (random effect). _<08>U_<08>s_<08>a_<08>g_<08>e: data("exam") _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with 3435 observations on the following 4 variables. ‘VRQ.score’ Verbal Reasoning Quotient obtained in primary school (integer vector ranging from 70 to 140) ‘Exam.score’ Leaving examination score obtained in secondary school (integer vector ranging from 1 to 10) ‘Primary.school’ Primary school identifier (factor with 148 levels) ‘Secondary.school’ Secondary school identifier (factor with 19 levels) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: The VRQ scores were obtained at age 12 (right before entering secondary school), and the Exam scores were obtained at age 16 (right before leaving secondary school). The VRQ scores are constructed to have a population mean of 100 and population standard deviation of 15. The goal is to predict the leaving Exam scores from the VRQ scores while accounting for the primary and secondary school cross-classifications. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Data Obtainable from: <https://www.bristol.ac.uk/cmm/team/hg/msm-3rd-ed/datasets.html> _<08>R_<08>e_<08>f_<08>e_<08>r_<08>e_<08>n_<08>c_<08>e_<08>s: Goldstein, H. (2011). Multilevel Statistical Models, 4th Edition. Chapter 12: Cross-classified data structures (pages 243-254). doi:10.1002/9780470973394 <https://doi.org/10.1002/9780470973394> Paterson, L. (1991). Socio-economic status and educational attainment: a multidimensional and multilevel study. Evaluation and Research in Education, 5, 97-121. doi:10.1080/09500799109533303 <https://doi.org/10.1080/09500799109533303> _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: # load 'exam' help file ?exam # load data data(exam) # header of data head(exam) # fit model mod <- gammi(Exam.score ~ VRQ.score, data = exam, random = ~ (1 | Primary.school) + (1 | Secondary.school)) # plot results plot(mod) # summarize results summary(mod) # variance parameters mod$VarCorr > > # load data > data(exam) > > # header of data > head(exam) VRQ.score Exam.score Primary.school Secondary.school 1 111 10 1 9 2 100 3 1 9 3 86 2 1 9 4 94 3 1 9 5 70 2 1 9 6 83 2 1 9 > > # fit model > mod <- gammi(Exam.score ~ VRQ.score, data = exam, + random = ~ (1 | Primary.school) + (1 | Secondary.school)) Error in crossprod(x, y) : requires numeric/complex matrix/vector arguments Calls: gammi ... gammi.formula -> gammi.default -> rbind -> crossprod Execution halted Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64

Version: 0.1
Check: examples
Result: ERROR Running examples in 'gammi-Ex.R' failed The error most likely occurred in: > ### Name: exam > ### Title: Cross-Classified Examination Data > ### Aliases: exam > ### Keywords: datasets > > ### ** Examples > > # load 'exam' help file > ?exam exam package:gammi R Documentation _<08>C_<08>r_<08>o_<08>s_<08>s-_<08>C_<08>l_<08>a_<08>s_<08>s_<08>i_<08>f_<08>i_<08>e_<08>d _<08>E_<08>x_<08>a_<08>m_<08>i_<08>n_<08>a_<08>t_<08>i_<08>o_<08>n _<08>D_<08>a_<08>t_<08>a _<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n: Scores on secondary school leaving examinations (response) and verbal reasoning scores in primary school (fixed effect) for 3435 students in Fife, Scotland. The students are cross-classified in 148 primary schools (random effect) and 19 secondary schools (random effect). _<08>U_<08>s_<08>a_<08>g_<08>e: data("exam") _<08>F_<08>o_<08>r_<08>m_<08>a_<08>t: A data frame with 3435 observations on the following 4 variables. 'VRQ.score' Verbal Reasoning Quotient obtained in primary school (integer vector ranging from 70 to 140) 'Exam.score' Leaving examination score obtained in secondary school (integer vector ranging from 1 to 10) 'Primary.school' Primary school identifier (factor with 148 levels) 'Secondary.school' Secondary school identifier (factor with 19 levels) _<08>D_<08>e_<08>t_<08>a_<08>i_<08>l_<08>s: The VRQ scores were obtained at age 12 (right before entering secondary school), and the Exam scores were obtained at age 16 (right before leaving secondary school). The VRQ scores are constructed to have a population mean of 100 and population standard deviation of 15. The goal is to predict the leaving Exam scores from the VRQ scores while accounting for the primary and secondary school cross-classifications. _<08>S_<08>o_<08>u_<08>r_<08>c_<08>e: Data Obtainable from: <https://www.bristol.ac.uk/cmm/team/hg/msm-3rd-ed/datasets.html> _<08>R_<08>e_<08>f_<08>e_<08>r_<08>e_<08>n_<08>c_<08>e_<08>s: Goldstein, H. (2011). Multilevel Statistical Models, 4th Edition. Chapter 12: Cross-classified data structures (pages 243-254). doi:10.1002/9780470973394 <https://doi.org/10.1002/9780470973394> Paterson, L. (1991). Socio-economic status and educational attainment: a multidimensional and multilevel study. Evaluation and Research in Education, 5, 97-121. doi:10.1080/09500799109533303 <https://doi.org/10.1080/09500799109533303> _<08>E_<08>x_<08>a_<08>m_<08>p_<08>l_<08>e_<08>s: # load 'exam' help file ?exam # load data data(exam) # header of data head(exam) # fit model mod <- gammi(Exam.score ~ VRQ.score, data = exam, random = ~ (1 | Primary.school) + (1 | Secondary.school)) # plot results plot(mod) # summarize results summary(mod) # variance parameters mod$VarCorr > > # load data > data(exam) > > # header of data > head(exam) VRQ.score Exam.score Primary.school Secondary.school 1 111 10 1 9 2 100 3 1 9 3 86 2 1 9 4 94 3 1 9 5 70 2 1 9 6 83 2 1 9 > > # fit model > mod <- gammi(Exam.score ~ VRQ.score, data = exam, + random = ~ (1 | Primary.school) + (1 | Secondary.school)) Error in crossprod(x, y) : requires numeric/complex matrix/vector arguments Calls: gammi ... gammi.formula -> gammi.default -> rbind -> crossprod Execution halted Flavor: r-oldrel-windows-x86_64