The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
FactoMineR : An R Package for Multivariate Analysis
Open accessAbstract
In this article, we present FactoMineR an R package dedicated to multivariate data analysis. The main features of this package is the possibility to take into account different types of variables (quantitative or categorical), different types of structure on the data (a partition on the variables, a hierarchy on the variables, a partition on the individuals) and finally supplementary information (supplementary individuals and variables). Moreover, the dimensions issued from the different exploratory data analyses can be automatically described by quantitative and/or categorical variables. Numerous graphics are also available with various options. Finally, a graphical user interface is implemented within the Rcmdr environment in order to propose an user friendly package.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Generalized procrustes analysis
Gower, J. C. (1975) · Psychometrika · doi:10.1007/bf02291478 · Cited by 3,267
Cited by
The global burden of pathogens and pests on major food crops
Savary, S., Willocquet, L., Pethybridge, S. J., Esker, P., McRoberts, N., & Nelson, A. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0793-y · Cited by 4,309
Dysfunction of the intestinal microbiome in inflammatory bowel disease and treatment
Morgan, X. C., Tickle, T. L., Sokol, H., Gevers, D., Devaney, K. L., Ward, D. V., Reyes, J. A., Shah, S. A., LeLeiko, N., Snapper, S. B., et al. (2012) · Genome Biology · doi:10.1186/gb-2012-13-9-r79 · Cited by 2,713
Pollutants bioavailability and toxicological risk from microplastics to marine mussels
Avio, C. G., Gorbi, S., Milan, M., Benedetti, M., Fattorini, D., d'Errico, G., Pauletto, M., Bargelloni, L., & Regoli, F. (2015) · Environmental Pollution · doi:10.1016/j.envpol.2014.12.021 · Cited by 1,413
A new genomic blueprint of the human gut microbiota
Almeida, A., Mitchell, A. L., Boland, M., Forster, S. C., Gloor, G. B., Tarkowska, A., Lawley, T. D., & Finn, R. D. (2019) · Nature · doi:10.1038/s41586-019-0965-1 · Cited by 1,314
Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma
Gillette, M. A., Satpathy, S., Cao, S., Dhanasekaran, S. M., Vasaikar, S. V., Krug, K., Petralia, F., Li, Y., Liang, W.-W., Reva, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.013 · Cited by 820
Gene expression across mammalian organ development
Cardoso-Moreira, M., Halbert, J., Valloton, D., Velten, B., Chen, C., Shao, Y., Liechti, A., Ascenção, K., Rummel, C., Ovchinnikova, S., et al. (2019) · Nature · doi:10.1038/s41586-019-1338-5 · Cited by 838
Hudson, W. H., Gensheimer, J., Hashimoto, M., Wieland, A., Valanparambil, R. M., Li, P., Lin, J.-X., Konieczny, B. T., Im, S. J., Freeman, G. J., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.11.002 · Cited by 656
Modeling Steatohepatitis in Humans with Pluripotent Stem Cell-Derived Organoids
Ouchi, R., Togo, S., Kimura, M., Shinozawa, T., Koido, M., Koike, H., Thompson, W., Karns, R. A., Mayhew, C. N., McGrath, P. S., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.05.007 · Cited by 537
Betizeau, M., Cortay, V., Patti, D., Pfister, S., Gautier, E., Bellemin-Ménard, A., Afanassieff, M., Huissoud, C., Douglas, R. J., Kennedy, H., et al. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.032 · Cited by 462
Indole is an essential herbivore-induced volatile priming signal in maize
Erb, M., Veyrat, N., Robert, C. A. M., Xu, H., Frey, M., Ton, J., & Turlings, T. C. J. (2015) · Nature Communications · doi:10.1038/ncomms7273 · Cited by 467
Ares, G., & Deliza, R. (2010) · Food Quality and Preference · doi:10.1016/j.foodqual.2010.03.006 · Cited by 357
Probing the Global Cellular Responses to Lipotoxicity Caused by Saturated Fatty Acids
Piccolis, M., Bond, L. M., Kampmann, M., Pulimeno, P., Chitraju, C., Jayson, C. B. K., Vaites, L. P., Boland, S., Lai, Z. W., Gabriel, K. R., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.01.036 · Cited by 269
Single-nucleus RNA-seq identifies Huntington disease astrocyte states
Al-Dalahmah, O., Sosunov, A. A., Shaik, A., Ofori, K., Liu, Y., Vonsattel, J. P., Adorjan, I., Menon, V., & Goldman, J. E. (2020) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-0880-6 · Cited by 264
Metagenomics uncovers a new group of low GC and ultra-small marine Actinobacteria
Ghai, R., Mizuno, C. M., Picazo, A., Camacho, A., & Rodriguez-Valera, F. (2013) · Scientific Reports · doi:10.1038/srep02471 · Cited by 224
Tuning of fast-spiking interneuron properties by an activity-dependent transcriptional switch
Dehorter, N., Ciceri, G., Bartolini, G., Lim, L., del Pino, I., & Marín, O. (2015) · Science · doi:10.1126/science.aab3415 · Cited by 169
Manca, C., Boubertakh, B., Leblanc, N., Deschênes, T., Lacroix, S., Martin, C., Houde, A., Veilleux, A., Flamand, N., Muccioli, G. G., et al. (2020) · Journal of Lipid Research · doi:10.1194/jlr.ra119000424 · Cited by 152
Conde, T. A., Neves, B. F., Couto, D., Melo, T., Neves, B., Costa, M., Silva, J., Domingues, P., & Domingues, M. R. (2021) · Marine Drugs · doi:10.3390/md19070357 · Cited by 147
Wiemerslage, L., & Lee, D. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.01.008 · Cited by 146
Early stem cell aging in the mature brain
Ibrayeva, A., Bay, M., Pu, E., Jörg, D. J., Peng, L., Jun, H., Zhang, N., Aaron, D., Lin, C., Resler, G., et al. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2021.03.018 · Cited by 137
Kim, Y., Caumon, M.-C., Barres, O., Sall, A., & Cauzid, J. (2021) · Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy · doi:10.1016/j.saa.2021.119980 · Cited by 134
Langberg, H. A., Breedveld, G. D., Grønning, H. M., Kvennås, M., Jenssen, B. M., & Hale, S. E. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.9b00927 · Cited by 131
Grahl, S., Strack, M., Mensching, A., & Mörlein, D. (2020) · Food Quality and Preference · doi:10.1016/j.foodqual.2020.103933 · Cited by 121
Morel, K., Revoyron, E., San Cristobal, M., & Baret, P. V. (2020) · PLOS ONE · doi:10.1371/journal.pone.0229910 · Cited by 111
Podlesny, D., Durdevic, M., Paramsothy, S., Kaakoush, N. O., Högenauer, C., Gorkiewicz, G., Walter, J., & Fricke, W. F. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100711 · Cited by 111
Alcaire, F., Antúnez, L., Vidal, L., Giménez, A., & Ares, G. (2017) · Food Research International · doi:10.1016/j.foodres.2017.02.019 · Cited by 92
Brain glucose metabolism in Lewy body dementia: implications for diagnostic criteria
Caminiti, S. P., Sala, A., Iaccarino, L., Beretta, L., Pilotto, A., Gianolli, L., Iannaccone, S., Magnani, G., Padovani, A., Ferini-Strambi, L., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0473-4 · Cited by 86
Dachet, F., Brown, J. B., Valyi-Nagy, T., Narayan, K. D., Serafini, A., Boley, N., Gingeras, T. R., Celniker, S. E., Mohapatra, G., & Loeb, J. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-85801-6 · Cited by 81
Multi-functional assessment of soil health under conservation agriculture in Cambodia
Pheap, S., Lefèvre, C., Thoumazeau, A., Leng, V., Boulakia, S., Koy, R., Hok, L., Lienhard, P., Brauman, A., & Tivet, F. (2019) · Soil and Tillage Research · doi:10.1016/j.still.2019.104349 · Cited by 70
Borràs, D. M., Verbandt, S., Ausserhofer, M., Sturm, G., Lim, J., Verge, G. A., Vanmeerbeek, I., Laureano, R. S., Govaerts, J., Sprooten, J., et al. (2023) · Cell Discovery · doi:10.1038/s41421-023-00605-4 · Cited by 67
Jokinen, J., Boström, A. E., Dadfar, A., Ciuculete, D. M., Chatzittofis, A., Åsberg, M., & Schiöth, H. B. (2018) · EBioMedicine · doi:10.1016/j.ebiom.2017.12.018 · Cited by 67
Liao, H., Xiong, T., Peng, J., Xu, L., Liao, M., Zhang, Z., Wu, Z., Yuan, K., & Zeng, Y. (2020) · Annals of Surgical Oncology · doi:10.1245/s10434-019-08190-1 · Cited by 65
Laengsri, V., Shoombuatong, W., Adirojananon, W., Nantasenamat, C., Prachayasittikul, V., & Nuchnoi, P. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-0929-2 · Cited by 66
Brain high-throughput multi-omics data reveal molecular heterogeneity in Alzheimer’s disease
Eteleeb, A. M., Novotny, B. C., Tarraga, C. S., Sohn, C., Dhungel, E., Brase, L., Nallapu, A., Buss, J., Farias, F., Bergmann, K., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002607 · Cited by 64
Organic nitrogen rearranges both structure and activity of the soil-borne microbial seedbank
Leite, M. F. A., Pan, Y., Bloem, J., Berge, H. T., & Kuramae, E. E. (2017) · Scientific Reports · doi:10.1038/srep42634 · Cited by 63
Response of the human gut and saliva microbiome to urbanization in Cameroon
Lokmer, A., Aflalo, S., Amougou, N., Lafosse, S., Froment, A., Tabe, F. E., Poyet, M., Groussin, M., Said-Mohamed, R., & Ségurel, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-59849-9 · Cited by 46
Yuan, X., Song, M., Devine, P., Bruneau, B. G., Scott, I. C., & Wilson, M. D. (2018) · Nature Communications · doi:10.1038/s41467-018-07451-z · Cited by 51
Bourque, V.-R., Poulain, C., Proulx, C., Moreau, C. A., Joober, R., Forgeot d’Arc, B., Huguet, G., & Jacquemont, S. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02866-3 · Cited by 48
Endoplasmic reticulum stress actively suppresses hepatic molecular identity in damaged liver
Dubois, V., Gheeraert, C., Vankrunkelsven, W., Dubois‐Chevalier, J., Dehondt, H., Bobowski‐Gerard, M., Vinod, M., Zummo, F. P., Güiza, F., Ploton, M., et al. (2020) · Molecular Systems Biology · doi:10.15252/msb.20199156 · Cited by 46
SARS-CoV-2 accessory proteins reveal distinct serological signatures in children
Hachim, A., Gu, H., Kavian, O., Mori, M., Kwan, M. Y. W., Chan, W. H., Yau, Y. S., Chiu, S. S., Tsang, O. T. Y., Hui, D. S. C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30699-5 · Cited by 42
Kin and kinship psychology both influence cooperative coordination in Yasawa, Fiji
McNamara, R. A., & Henrich, J. (2017) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2016.09.004 · Cited by 42
Vignando, M., ffytche, D., Lewis, S. J. G., Lee, P. H., Chung, S. J., Weil, R. S., Hu, M. T., Mackay, C. E., Griffanti, L., Pins, D., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28087-0 · Cited by 42
Thoumazeau, A., Bessou, C., Renevier, M.-S., Panklang, P., Puttaso, P., Peerawat, M., Heepngoen, P., Polwong, P., Koonklang, N., Sdoodee, S., et al. (2019) · Ecological Indicators · doi:10.1016/j.ecolind.2018.10.028 · Cited by 39
Tachapuripunya, V., Roytrakul, S., Chumnanpuen, P., & E-kobon, T. (2021) · Molecules · doi:10.3390/molecules26113475 · Cited by 39
Beyond WEIRD Psychology: Measuring and Mapping Scales of Cultural and Psychological Distance
Muthukrishna, M., Bell, A., Henrich, J., Curtin, C., Gedranovich, A., McInerney, J., & Thue, B. (2018) · doi:10.2139/ssrn.3259613 · Cited by 38
Viuff, M. H., Just, J., Brun, S., Dam, T. V., Hansen, M., Melgaard, L., Hougaard, D. M., Lappe, M., & Gravholt, C. H. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac167 · Cited by 35
Organelle proteomic profiling reveals lysosomal heterogeneity in association with longevity
Yu, Y., Gao, S. M., Guan, Y., Hu, P.-W., Zhang, Q., Liu, J., Jing, B., Zhao, Q., Sabatini, D. M., Abu-Remaileh, M., et al. (2024) · eLife · doi:10.7554/elife.85214 · Cited by 37
HPA axis dysregulation is associated with differential methylation of CpG-sites in related genes
Chatzittofis, A., Boström, A. D. E., Ciuculete, D. M., Öberg, K. G., Arver, S., Schiöth, H. B., & Jokinen, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-99714-x · Cited by 35
A MIR4646 associated methylation locus is hypomethylated in adolescent depression
Boström, A. E., Ciuculete, D.-M., Attwood, M., Krattinger, R., Nikontovic, L., Titova, O. E., Kullak-Ublick, G. A., Mwinyi, J., & Schiöth, H. B. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.05.017 · Cited by 33
Koleck, T. A., Topaz, M., Tatonetti, N. P., George, M., Miaskowski, C., Smaldone, A., & Bakken, S. (2021) · Research in Nursing & Health · doi:10.1002/nur.22190 · Cited by 33
Lairez, J., Lopez-Ridaura, S., Jourdain, D., Falconnier, G. N., Lienhard, P., Striffler, B., Syfongxay, C., & Affholder, F. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2020.102830 · Cited by 32
Racicot, R. A., Darroch, S. A. F., & Kohno, N. (2018) · Journal of Anatomy · doi:10.1111/joa.12862 · Cited by 31
Bouttes, M., Bancarel, A., Doumayzel, S., Viguié, S., Cristobal, M. S., & Martin, G. (2020) · Agronomy for Sustainable Development · doi:10.1007/s13593-020-00616-5 · Cited by 26
Impact of hydrogen peroxide on microalgae cultivated in varying salt-nitrate-phosphate conditions
Anand, V., Kashyap, M., Sharma, M. P., & Bala, K. (2021) · Journal of Environmental Chemical Engineering · doi:10.1016/j.jece.2021.105814 · Cited by 24
DeepMF: deciphering the latent patterns in omics profiles with a deep learning method
Chen, L., Xu, J., & Li, S. C. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-3291-6 · Cited by 23
Boström, A. E., Chatzittofis, A., Ciuculete, D.-M., Flanagan, J. N., Krattinger, R., Bandstein, M., Mwinyi, J., Kullak-Ublick, G. A., Öberg, K. G., Arver, S., et al. (2020) · Epigenetics · doi:10.1080/15592294.2019.1656157 · Cited by 25
Hemonnot-Girard, A.-L., Meersseman, C., Pastore, M., Garcia, V., Linck, N., Rey, C., Chebbi, A., Jeanneteau, F., Ginsberg, S. D., Lachuer, J., et al. (2022) · Journal of Neuroinflammation · doi:10.1186/s12974-022-02581-0 · Cited by 24
Fanchone, A., Alexandre, G., Chia, E., Diman, J.-L., Ozier-Lafontaine, H., & Angeon, V. (2020) · European Journal of Agronomy · doi:10.1016/j.eja.2020.126058 · Cited by 21
Messaoudene, M., Ferreira, S., Saint-Lu, N., Ponce, M., Truntzer, C., Boidot, R., Le Bescop, C., Loppinet, T., Corbel, T., Féger, C., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52373-8 · Cited by 24
Using transcriptomics to examine the physiological status of wild-caught walleye (Sander vitreus)
Jeffrey, J. D., Thorstensen, M. J., Enders, E. C., Treberg, J. R., & Jeffries, K. M. (2023) · FACETS · doi:10.1139/facets-2022-0177 · Cited by 22
Owens, G. L., Todesco, M., Bercovich, N., Légaré, J., Mitchell, N., Whitney, K. D., & Rieseberg, L. H. (2021) · Molecular Ecology · doi:10.1111/mec.16008 · Cited by 20
Izquierdo, A. E., Blundo, C., Carilla, J., Foguet, J., Navarro, C. J., Casagranda, E., Chiappero, M. F., & Vaieretti, M. V. (2022) · Applied Vegetation Science · doi:10.1111/avsc.12658 · Cited by 20
Xu, J., Guan, X., Jia, X., Li, H., Chen, R., & Lu, Y. (2022) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2022.100255 · Cited by 19
Turano, P. S., Akbulut, E., Dewald, H. K., Vasilopoulos, T., Fitzgerald-Bocarsly, P., Herbig, U., & Martínez-Zamudio, R. I. (2026) · Cell Reports · doi:10.1016/j.celrep.2025.116795 · Cited by 16
A prospective study of lipids in adult women with Turner syndrome
Sandahl, K. J., Just, J., Erlandsen, M., Mortensen, K. H., Andersen, N. H., & Gravholt, C. H. (2023) · Journal of the Endocrine Society · doi:10.1210/jendso/bvad124 · Cited by 14
Tao, Y.-T., Chen, L.-X., Jin, J., Du, Z.-K., & Li, J.-M. (2022) · BMC Genomics · doi:10.1186/s12864-022-08978-8 · Cited by 15
Genetic determinants of plasma protein levels in the Estonian population
Kalnapenkis, A., Jõeloo, M., Lepik, K., Kukuškina, V., Kals, M., Alasoo, K., Estonian Biobank Research Team, Metspalu, A., Milani, L., Nelis, M., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-57966-3 · Cited by 11
Bettera, L., Levante, A., Bancalari, E., Bottari, B., Cirlini, M., Neviani, E., & Gatti, M. (2023) · Foods · doi:10.3390/foods12213949 · Cited by 10
Bird dependence on wetlands determines functional responses to flood pulse in the Brazilian Pantanal
Frota, A. V. B., Vitorino, B. D., Almeida, S. M., da Silva Nunes, J. R., & da Silva, C. J. (2022) · Ornithology Research · doi:10.1007/s43388-022-00102-4 · Cited by 8
Bettuzzi, T., Hua, C., Diaz, E., Colin, A., Wolkenstein, P., de Prost, N., & Ingen‐Housz‐Oro, S. (2022) · British Journal of Dermatology · doi:10.1111/bjd.21009 · Cited by 7
An extended transcription factor regulatory network controls hepatocyte identity
Dubois‐Chevalier, J., Gheeraert, C., Berthier, A., Boulet, C., Dubois, V., Guille, L., Fourcot, M., Marot, G., Gauthier, K., Dubuquoy, L., et al. (2023) · EMBO Reports · doi:10.15252/embr.202357020 · Cited by 6
“…with the ComBat function of the R package SVA (parameters were set as follows, mean.only: T, par.prior: T, control samples for the batch correction were the adult livers for the differentiation study and the livers from wild-type or untreated mice for the injury studies; Leek et al , 2022).”
Boeira, L. S., Cád, S. V., Bezerra, J. A., Benavente, C. T., Neta, M. T. S. L., Sandes, R. D. D., & Narain, N. (2023) · Journal of Food Science · doi:10.1111/1750-3841.16429 · Cited by 5
Migration Studies and Endocrine Disrupting Activities: Chemical Safety of Cosmetic Plastic Packaging
Bou-Maroun, E., Dahbi, L., Dujourdy, L., Ferret, P.-J., & Chagnon, M.-C. (2023) · Polymers · doi:10.3390/polym15194009 · Cited by 5
Landblom, S. A., & Ionin, T. (2022) · Glossa: a journal of general linguistics · doi:10.16995/glossa.5810 · Cited by 1
Constructing Offender Typologies From Judicial Data: A Clustering Analysis of Sextortion Cases
Wang, F., & Pei, W. (2026) · Sexual Abuse · doi:10.1177/10790632261434143 · Cited by 2
Tambadou, H., Le Heiget, A., Zwick, B., Dallago, G., Hagen, B., Winder, C., Plaizier, J. C., Kinley, J., Ominski, K., Pajor, E., et al. (2026) · Journal of Dairy Science · doi:10.3168/jds.2025-27820
Metadata
- Authors
- Lê, S., Josse, J., & Husson, F.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2008
- Volume
- 25
- Issue
- 1
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2153947402
- Cited by
- 11,603
- References
- 1
- FWCI
- 43.99
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.