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Adobe PDF - 115.0 KB -
MD5: 8c26e4642e0f55aea074883567935de4
Supplementary Fig. S4: Plots of FPC curves, harmonics.
The plots show the three first functional principal component curves (FPCs, harmonics) for glucose, C-peptide, TAGs, and incremental TAGs, respectively.
In all plots, the black, solid line represents the first FPC, the red dashed line represents the second FPC, and the green dotted line repr... |
Adobe PDF - 1.9 MB -
MD5: 1c59a3c4d117ff1f76e6b89fe61a8762
Supplementary Fig. S5: Correlation matrix.
The figure shows a Pearson correlation matrix including FPC score variables, as well as a large number of various summary measures of glucose, C-peptide and triacylglycerol, as well as insulin resistance.
Correlation direction is indicated by text color (red = positive, blue = negative), and transparenc... |
Adobe PDF - 6.6 MB -
MD5: 49b3919645f3f6ffd281dcb1c9f6100b
Supplementary Fig. S6: FPCA stratified by sex.
Plots A1 – A3, B1 – B3, C1 – C3 and D1 – D3 show the results from FPCAs of glucose, C-peptide, triacylglycerol and incremental triacylglycerol, respectively - not stratified by sex.
All single plots display the entire set of n=190 individual curves but coloured according to the scores of a specified... |
Adobe PDF - 900.1 KB -
MD5: d001c305bdd00ce37974473794a98102
Supplementary Fig. S7: Heatmap, original.
The heatmap shows the Pearson correlations between the FPC score variables for glucose, C-peptide, and TAG to a range of metabolic features including circulating fasting metabolite concentrations and body composition.
Blue cells in the heatmap indicate strong positive correlation between variables, and y... |
Adobe PDF - 5.3 MB -
MD5: 256143e2a11b572af3d7d990630b5240
Supplementary figure S8: Heatmaps, extended and by sex
All heatmaps show Pearson correlations. Blue cells in the heatmap indicate strong positive correlation between variables, and yellow cells indicate strong negative correlations between variables.
Page 2: Extended heatmap.
In addition to the postprandial FPC variables for the 0-120 min cur... |
R Syntax - 21.3 KB -
MD5: e95685d8053ff604db4e38212f77e1c9
R script for performing curve fitting, FPCA, and generate plots of postprandial curves |
Adobe PDF - 424.6 KB -
MD5: 151791bb0eea3a612f729c963c1f9e04
RMarkdown file as .pdf containing the imputation procedure used for the missing postprandial data |
May 14, 2026 - TROLLing
Janda, Laura Alexis; Kováříková, Dominika, 2026, "Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”", https://doi.org/10.18710/4TKI0T, DataverseNO, V1
The basis for the analysis are the grammatical profiles (relative distribution of morphological cases in corpus data) of 65 high-frequency (>1000 attestations in Czech National Corpus) Czech nouns describing emotions. We visualise the grammatical profiles using correspondence analysis, which groups emotion nouns according to similarities in their o... |
May 14, 2026 -
Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Plain Text - 7.5 KB -
MD5: dc366e6d61055eff48b00cae8bf56c4c
This is the README file that describes the project and all of the other files in this dataset. |
May 14, 2026 -
Replication Data for: “Emotions in Context: A Semantic Field Viewed through Grammar and Collocation”
Comma Separated Values - 3.9 KB -
MD5: 30e92bc08ffbb3fb48f20fef7e9c0802
This is the .csv file containing the data with the original Czech nouns. |
