Figures and Tables Sample Clauses

Figures and Tables. 1 0.9 0.8 0.7 0.6 ARI 0.5 0.4 0.3 0.2 K−means 0 Figure 3.1: ARI by K and clustering algorithm for partitions of the empiric data set (Study 1). K−means K−modes, standard K−modes, Jaccard 1 0.8 0.6 ARI 0.4 0.2 X X−means K−modes, standard K−modes, Jaccard K−means K−modes, standard K−modes, Jaccard 1 1 0.8 0.8 ARI ARI 0.6 0.6 0.4 0.4 0.2 0.2 0 3 4 5 6 7 8 9 Figure 3.2: ARI by K and clustering algorithm for Study 2 simulations from Scenarios A (upper left), B (lower left), and C (lower right). K−means K−modes, standard K−modes, Jaccard K−means K−modes, standard K−modes, Jaccard 1 1 0.8 0.8 ARI ARI 0.6 0.6 0.4 0.4 0.2 0.2 0 3 4 5 6 7 8 9
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Figures and Tables. Figures Page EXECUTIVE SUMMARY
Figures and Tables. Figures and tables are welcome in the text as they can help the reader in understanding or get an overview of the text. This is especially the case if there are many numbers in the text or if the text explains about causal or other relationships. All figures and tables must be assigned a number and a title. In addition, a reference for numbers used or where the figure is taken from must be given along with the table or figure. If you have produced a figure yourself, it is often preferable to indicate “own work” as source. By this, there will be no confusion about the source.
Figures and Tables. Research papers published between 1999 and July 3, 2012 utilizing data from immunization information systems, identified through a review of a CDC database [54] and PubMed, with searches conducted between February 13, 2012 and July 3, 2012.
Figures and Tables. Table 1. Sample characteristics 32 Table 2. Multivariate linear regressions results for GS/Inc 33 Table 3. Multivariate linear regressions results for GR/Inc 35 Table 4. Multivariate linear regressions results for GS/GR. 36 Figure 1.Distribution of GS/Inc 38 Figure 2.Distribution of GR/Inc 38 Figure 3.Distribution of GS/GR. 39 Figure 4.Comparison of GS/Inc and other expenditure / Inc 39
Figures and Tables. Table 1. Summary statistics Tomato before harvest Tomato after harvest Jalapeño before harvest Jalapeño after harvest Cantaloupe before harvest Cantaloupe after harvest
Figures and Tables. The four consultations for voluntary termination of pregnancy (Interrupción Voluntaria del Embarazo, IVE) in the Uruguayan healthcare system including the timeline established by the law 18.987 that decriminalized abortion in 2012.
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Figures and Tables. Table 3-1 Terminal digit preference expressed as percentage of anthropometrists’ first measurement for height, head circumference and arm circumference ending in .0 to .9 compared to the expected 10% among children 0-4.9 years (n=948 observations from 474 children), BINA 2017‌ Height Head Circumference Arm Circumference Terminal Digit (tenths place) % Observed % Observed - % Expected P-Value % Observed % Observed - % Expected P-Value % Observed % Observed - % Expected P-Value 1 9.2 -0.8 0.45 9.2 -0.8 0.45 10.7 0.7 0.48 2 11.2 1.2 0.23 11.2 1.2 0.23 8.4 -1.6 0.12 3 10.2 0.2 0.79 10.1 0.1 0.87 9.8 -0.2 0.91 4 14.3 4.3 0.00 14.3 4.3 0.00 14.6 4.6 0.00 5 9.7 -0.3 0.83 6.8 -3.2 0.00 6.4 -3.6 0.00 6 9.8 -0.2 0.91 9.8 -0.2 0.91 12.3 2.3 0.02 7 9.8 -0.2 0.91 9.6 -0.4 0.75 11.6 1.6 0.10 8 9.1 -0.9 0.36 13.3 3.3 0.00 9.7 -0.3 0.83 9 8.1 -1.9 0.06 10.8 0.8 0.42 10.5 0.5 0.55 Table 3-2 Mean z-score, standard deviation, and test of equal variance between age groups for height-for-age (HAZ), weight-for- height (WHZ), weight-for-age (WAZ), arm circumference-for-age (ACZ), and head circumference-for-age (HCZ) from manual measurements (n=474), BINA 2017 Total (0-4.9 years) Less than 2 years (U2) 2-4.9 years (O2) Difference in Variance (Xxxxxx'x Test) n Mean z-score Standard Deviation (SD) n Mean z-score Standard Deviation n Mean z- score Standard Deviation U2 SD- O2 SD F P-Value Height-for-age 474 -0.29 1.07 223 -0.42 1.10 251 -0.18 1.03 0.08 0.12 0.73 Weight-for-height 472 0.34 0.92 222 0.32 0.88 250 0.35 0.96 -0.08 0.87 0.35 Repeated measure mean Weight-for-age 474 0.06 1.04 223 -0.05 1.02 251 0.17 1.05 -0.04 0.26 0.61 Arm circumference-for- age 385 0.78 0.94 135 0.84 0.92 250 0.75 0.95 -0.03 <0.01 0.93 Head circumference-for- age 474 0.24 1.02 223 0.11 1.01 251 0.35 1.01 0.00 0.32 0.57 Height-for-age 474 -0.30 1.08 223 -0.43 1.11 251 -0.17 1.02 0.09 <0.01 0.96 Weight-for-height 471 0.34 0.95 221 0.34 0.92 250 0.34 0.97 -0.05 0.38 0.54 Single measure Weight-for-age 474 0.06 1.04 223 -0.05 1.01 251 0.17 1.05 -0.04 0.31 0.58 Arm circumference-for- age 385 0.78 0.97 135 0.85 0.98 250 0.75 0.96 0.02 0.25 0.62 Head circumference-for- age 474 0.24 1.04 223 0.11 1.04 251 0.36 1.03 0.01 0.52 0.47 45.0% 41.6%41.8% 40.0% 35.0% 30.0% 25.0% 23.4% 21.8% 20.0% 15.0% 9.6% 9.9% 10.0% 7.0% 7.6% 5.0% 3.6% 4.7% 2.8% 3.6% 0.4% 0.4% 0.3% 0.3%
Figures and Tables. Table 4-1 Sample characteristics, BINA 2017 Age Groups Newborn (<1 month) 82 (17%) 1-11.9 months 66 (14%) 1-1.9 years 75 (16%) 2-2.9 years 85 (18%) 3-4.9 years 166 (35%) Sex Female 228 (48%) Race Black 201 (42%) White 134 (28%) Asian 40 (8%) Multiple, Other or Not Reported 99 (21%) Ethnicity Non-Hispanic 385 (81%) Hispanic 77 (16%) Not Reported 12 (3%) Anthropometric Indices
Figures and Tables. The predictive curve of Poisson model and Zero-inflated Poisson model and Negative binomial model and Zero-inflated Negative binomial model are extremely similar and overlapping
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