- using R Under development (unstable) (2023-12-02 r85657)
- using platform: x86_64-pc-linux-gnu
- R was compiled by Debian clang version 17.0.5 (1) Debian flang-new version 17.0.5 (1)
- running under: Debian GNU/Linux trixie/sid
- using session charset: UTF-8
- checking for file ‘psych/DESCRIPTION’ ... OK
- this is package ‘psych’ version ‘2.3.9’
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- checking whether package ‘psych’ can be installed ... OK See the install log for details.
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- checking Rd files ... [4s/5s] NOTE checkRd: (-1) KMO.Rd:23: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) KMO.Rd:24: Lost braces in \itemize; \value handles \item{}{} directly checkRd: (-1) KMO.Rd:25: Lost braces 25 | item{Image}{ The Image correlation matrix (Q)} | ^ checkRd: (-1) KMO.Rd:25: Lost braces 25 | item{Image}{ The Image correlation matrix (Q)} | ^ checkRd: (-1) bassAckward.Rd:66: Lost braces 66 | item{fa}{A list of the factor loadings at each level} | ^ checkRd: (-1) bassAckward.Rd:66: Lost braces 66 | item{fa}{A list of the factor loadings at each level} | ^ checkRd: (-1) biplot.psych.Rd:4: Lost braces 4 | \description{Extends the biplot function to the output of \code{\link{fa}}, \code{\link{fa.poly}} or \code{\link{principal}}. Will plot factor scores and factor loadings in the same graph. If the number of factors > 2, then all pairs of factors are plotted. Factor score histograms are plotted on the diagonal. The input is the resulting object from \code{\link{fa}}, \code{\link{principal}}, or \}{code\{link{fa.poly}} with the scores=TRUE option. Points may be colored according to other criteria. | ^ checkRd: (-1) biplot.psych.Rd:4: Lost braces 4 | \description{Extends the biplot function to the output of \code{\link{fa}}, \code{\link{fa.poly}} or \code{\link{principal}}. Will plot factor scores and factor loadings in the same graph. If the number of factors > 2, then all pairs of factors are plotted. Factor score histograms are plotted on the diagonal. The input is the resulting object from \code{\link{fa}}, \code{\link{principal}}, or \}{code\{link{fa.poly}} with the scores=TRUE option. Points may be colored according to other criteria. | ^ checkRd: (-1) deprecated.Rd:146: Lost braces; missing escapes or markup? 146 | The communality for a variable is the amount of variance accounted for by all of the factors. That is to say, for orthogonal factors, it is the sum of the squared factor loadings (rowwise). The communality is insensitive to rotation. However, if an oblique solution is found, then the communality is not the sum of squared pattern coefficients. In both cases (oblique or orthogonal) the communality is the diagonal of the reproduced correlation matrix where \eqn{_nR_n = _{n}P_{k k}\Phi_{k k}P_n'}{nRn = nPk k\Phi k kPn' } where P is the pattern matrix and \eqn{\Phi} is the factor intercorrelation matrix. This is the same, of course to multiplying the pattern by the structure: \eqn{R = P S'} {R = PS'} where the Structure matrix is \eqn{S = \Phi P}{S = Phi P}. Similarly, the eigen values are the diagonal of the product \eqn{ _k\Phi_{kk}P'_{nn}P_{k} | ^ checkRd: (-1) deprecated.Rd:163: Lost braces 163 | code{\link{fa.multi}} for hierarchical factor analysis with an arbitrary number of higher order factors. | ^ checkRd: (-1) esem.Rd:113: Lost braces 113 | code{\link{fa.multi}} for hierarchical factor analysis with an arbitrary number of higher order factors. | ^ checkRd: (-1) fa.Rd:266: Lost braces; missing escapes or markup? 266 | The communality for a variable is the amount of variance accounted for by all of the factors. That is to say, for orthogonal factors, it is the sum of the squared factor loadings (rowwise). The communality is insensitive to rotation. However, if an oblique solution is found, then the communality is not the sum of squared pattern coefficients. In both cases (oblique or orthogonal) the communality is the diagonal of the reproduced correlation matrix where \eqn{_nR_n = _{n}P_{k k}\Phi_{k k}P_n'}{nRn = nPk k\Phi k kPn' } where P is the pattern matrix and \eqn{\Phi} is the factor intercorrelation matrix. This is the same, of course to multiplying the pattern by the structure: \eqn{R = P S'} {R = PS'} where the Structure matrix is \eqn{S = \Phi P}{S = Phi P}. Similarly, the eigen values are the diagonal of the product \eqn{ _k\Phi_{kk}P'_{nn}P_{k} | ^ checkRd: (-1) omega.graph.Rd:53: Lost braces 53 | \details{While omega.graph requires the Rgraphviz package, omega.diagram does not. code{\link{omega}} requires the GPArotation package. | ^ checkRd: (-1) scatter.hist.Rd:35: Lost braces 35 | \item{means}{TRUE}{If TRUE, show the means for the distributions. } | ^ checkRd: (-1) set.cor.Rd:142: Lost braces 142 | item{residual}{The residual correlation matrix of Y with x and z removed} | ^ checkRd: (-1) set.cor.Rd:142: Lost braces 142 | item{residual}{The residual correlation matrix of Y with x and z removed} | ^ checkRd: (-1) skew.Rd:69: Lost braces; missing escapes or markup? 69 | \note{ Probability values less than 10^-{300} are set to 0. } | ^
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- DONE

Status: 1 NOTE