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R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Thu, 31 Jan 2019 18:30:45 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2019/Jan/31/t15489559527imvtxsc6o3bayq.htm/, Retrieved Sun, 05 May 2024 13:54:42 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 13:54:42 +0200

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Histogram

Boxplots

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	Big Analytics Cloud Computing Center
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time2 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
R Framework error message & Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

2 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [ROW]

R Framework error message[/C][C]

Warning: there are blank lines in the 'Data' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	Big Analytics Cloud Computing Center
R Framework error message	Warning: there are blank lines in the 'Data' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-0.8,-0.75[	-0.775	1	0.000217	0.000217	0.004338
[-0.75,-0.7[	-0.725	0	0	0.000217	0
[-0.7,-0.65[	-0.675	7	0.001518	0.001735	0.030369
[-0.65,-0.6[	-0.625	3	0.000651	0.002386	0.013015
[-0.6,-0.55[	-0.575	15	0.003254	0.00564	0.065076
[-0.55,-0.5[	-0.525	25	0.005423	0.011063	0.10846
[-0.5,-0.45[	-0.475	29	0.006291	0.017354	0.125813
[-0.45,-0.4[	-0.425	31	0.006725	0.024078	0.13449
[-0.4,-0.35[	-0.375	40	0.008677	0.032755	0.173536
[-0.35,-0.3[	-0.325	51	0.011063	0.043818	0.221258
[-0.3,-0.25[	-0.275	70	0.015184	0.059002	0.303688
[-0.25,-0.2[	-0.225	107	0.02321	0.082213	0.464208
[-0.2,-0.15[	-0.175	165	0.035792	0.118004	0.715835
[-0.15,-0.1[	-0.125	236	0.051193	0.169197	1.023861
[-0.1,-0.05[	-0.075	470	0.101952	0.27115	2.039046
[-0.05,0[	-0.025	774	0.167896	0.439046	3.357918
[0,0.05[	0.025	1065	0.23102	0.670065	4.62039
[0.05,0.1[	0.075	625	0.135575	0.80564	2.711497
[0.1,0.15[	0.125	359	0.077874	0.883514	1.557484
[0.15,0.2[	0.175	186	0.040347	0.923861	0.806941
[0.2,0.25[	0.225	108	0.023427	0.947289	0.468547
[0.25,0.3[	0.275	67	0.014534	0.961822	0.290672
[0.3,0.35[	0.325	57	0.012364	0.974187	0.247289
[0.35,0.4[	0.375	37	0.008026	0.982213	0.160521
[0.4,0.45[	0.425	21	0.004555	0.986768	0.091106
[0.45,0.5[	0.475	18	0.003905	0.990672	0.078091
[0.5,0.55[	0.525	8	0.001735	0.992408	0.034707
[0.55,0.6[	0.575	13	0.00282	0.995228	0.056399
[0.6,0.65[	0.625	9	0.001952	0.99718	0.039046
[0.65,0.7[	0.675	7	0.001518	0.998698	0.030369
[0.7,0.75[	0.725	1	0.000217	0.998915	0.004338
[0.75,0.8[	0.775	1	0.000217	0.999132	0.004338
[0.8,0.85[	0.825	1	0.000217	0.999349	0.004338
[0.85,0.9[	0.875	0	0	0.999349	0
[0.9,0.95[	0.925	2	0.000434	0.999783	0.008677
[0.95,1]	0.975	1	0.000217	1	0.004338

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[-0.8,-0.75[ & -0.775 & 1 & 0.000217 & 0.000217 & 0.004338 \tabularnewline
[-0.75,-0.7[ & -0.725 & 0 & 0 & 0.000217 & 0 \tabularnewline
[-0.7,-0.65[ & -0.675 & 7 & 0.001518 & 0.001735 & 0.030369 \tabularnewline
[-0.65,-0.6[ & -0.625 & 3 & 0.000651 & 0.002386 & 0.013015 \tabularnewline
[-0.6,-0.55[ & -0.575 & 15 & 0.003254 & 0.00564 & 0.065076 \tabularnewline
[-0.55,-0.5[ & -0.525 & 25 & 0.005423 & 0.011063 & 0.10846 \tabularnewline
[-0.5,-0.45[ & -0.475 & 29 & 0.006291 & 0.017354 & 0.125813 \tabularnewline
[-0.45,-0.4[ & -0.425 & 31 & 0.006725 & 0.024078 & 0.13449 \tabularnewline
[-0.4,-0.35[ & -0.375 & 40 & 0.008677 & 0.032755 & 0.173536 \tabularnewline
[-0.35,-0.3[ & -0.325 & 51 & 0.011063 & 0.043818 & 0.221258 \tabularnewline
[-0.3,-0.25[ & -0.275 & 70 & 0.015184 & 0.059002 & 0.303688 \tabularnewline
[-0.25,-0.2[ & -0.225 & 107 & 0.02321 & 0.082213 & 0.464208 \tabularnewline
[-0.2,-0.15[ & -0.175 & 165 & 0.035792 & 0.118004 & 0.715835 \tabularnewline
[-0.15,-0.1[ & -0.125 & 236 & 0.051193 & 0.169197 & 1.023861 \tabularnewline
[-0.1,-0.05[ & -0.075 & 470 & 0.101952 & 0.27115 & 2.039046 \tabularnewline
[-0.05,0[ & -0.025 & 774 & 0.167896 & 0.439046 & 3.357918 \tabularnewline
[0,0.05[ & 0.025 & 1065 & 0.23102 & 0.670065 & 4.62039 \tabularnewline
[0.05,0.1[ & 0.075 & 625 & 0.135575 & 0.80564 & 2.711497 \tabularnewline
[0.1,0.15[ & 0.125 & 359 & 0.077874 & 0.883514 & 1.557484 \tabularnewline
[0.15,0.2[ & 0.175 & 186 & 0.040347 & 0.923861 & 0.806941 \tabularnewline
[0.2,0.25[ & 0.225 & 108 & 0.023427 & 0.947289 & 0.468547 \tabularnewline
[0.25,0.3[ & 0.275 & 67 & 0.014534 & 0.961822 & 0.290672 \tabularnewline
[0.3,0.35[ & 0.325 & 57 & 0.012364 & 0.974187 & 0.247289 \tabularnewline
[0.35,0.4[ & 0.375 & 37 & 0.008026 & 0.982213 & 0.160521 \tabularnewline
[0.4,0.45[ & 0.425 & 21 & 0.004555 & 0.986768 & 0.091106 \tabularnewline
[0.45,0.5[ & 0.475 & 18 & 0.003905 & 0.990672 & 0.078091 \tabularnewline
[0.5,0.55[ & 0.525 & 8 & 0.001735 & 0.992408 & 0.034707 \tabularnewline
[0.55,0.6[ & 0.575 & 13 & 0.00282 & 0.995228 & 0.056399 \tabularnewline
[0.6,0.65[ & 0.625 & 9 & 0.001952 & 0.99718 & 0.039046 \tabularnewline
[0.65,0.7[ & 0.675 & 7 & 0.001518 & 0.998698 & 0.030369 \tabularnewline
[0.7,0.75[ & 0.725 & 1 & 0.000217 & 0.998915 & 0.004338 \tabularnewline
[0.75,0.8[ & 0.775 & 1 & 0.000217 & 0.999132 & 0.004338 \tabularnewline
[0.8,0.85[ & 0.825 & 1 & 0.000217 & 0.999349 & 0.004338 \tabularnewline
[0.85,0.9[ & 0.875 & 0 & 0 & 0.999349 & 0 \tabularnewline
[0.9,0.95[ & 0.925 & 2 & 0.000434 & 0.999783 & 0.008677 \tabularnewline
[0.95,1] & 0.975 & 1 & 0.000217 & 1 & 0.004338 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][-0.8,-0.75[[/C][C]-0.775[/C][C]1[/C][C]0.000217[/C][C]0.000217[/C][C]0.004338[/C][/ROW]
[ROW][C][-0.75,-0.7[[/C][C]-0.725[/C][C]0[/C][C]0[/C][C]0.000217[/C][C]0[/C][/ROW]
[ROW][C][-0.7,-0.65[[/C][C]-0.675[/C][C]7[/C][C]0.001518[/C][C]0.001735[/C][C]0.030369[/C][/ROW]
[ROW][C][-0.65,-0.6[[/C][C]-0.625[/C][C]3[/C][C]0.000651[/C][C]0.002386[/C][C]0.013015[/C][/ROW]
[ROW][C][-0.6,-0.55[[/C][C]-0.575[/C][C]15[/C][C]0.003254[/C][C]0.00564[/C][C]0.065076[/C][/ROW]
[ROW][C][-0.55,-0.5[[/C][C]-0.525[/C][C]25[/C][C]0.005423[/C][C]0.011063[/C][C]0.10846[/C][/ROW]
[ROW][C][-0.5,-0.45[[/C][C]-0.475[/C][C]29[/C][C]0.006291[/C][C]0.017354[/C][C]0.125813[/C][/ROW]
[ROW][C][-0.45,-0.4[[/C][C]-0.425[/C][C]31[/C][C]0.006725[/C][C]0.024078[/C][C]0.13449[/C][/ROW]
[ROW][C][-0.4,-0.35[[/C][C]-0.375[/C][C]40[/C][C]0.008677[/C][C]0.032755[/C][C]0.173536[/C][/ROW]
[ROW][C][-0.35,-0.3[[/C][C]-0.325[/C][C]51[/C][C]0.011063[/C][C]0.043818[/C][C]0.221258[/C][/ROW]
[ROW][C][-0.3,-0.25[[/C][C]-0.275[/C][C]70[/C][C]0.015184[/C][C]0.059002[/C][C]0.303688[/C][/ROW]
[ROW][C][-0.25,-0.2[[/C][C]-0.225[/C][C]107[/C][C]0.02321[/C][C]0.082213[/C][C]0.464208[/C][/ROW]
[ROW][C][-0.2,-0.15[[/C][C]-0.175[/C][C]165[/C][C]0.035792[/C][C]0.118004[/C][C]0.715835[/C][/ROW]
[ROW][C][-0.15,-0.1[[/C][C]-0.125[/C][C]236[/C][C]0.051193[/C][C]0.169197[/C][C]1.023861[/C][/ROW]
[ROW][C][-0.1,-0.05[[/C][C]-0.075[/C][C]470[/C][C]0.101952[/C][C]0.27115[/C][C]2.039046[/C][/ROW]
[ROW][C][-0.05,0[[/C][C]-0.025[/C][C]774[/C][C]0.167896[/C][C]0.439046[/C][C]3.357918[/C][/ROW]
[ROW][C][0,0.05[[/C][C]0.025[/C][C]1065[/C][C]0.23102[/C][C]0.670065[/C][C]4.62039[/C][/ROW]
[ROW][C][0.05,0.1[[/C][C]0.075[/C][C]625[/C][C]0.135575[/C][C]0.80564[/C][C]2.711497[/C][/ROW]
[ROW][C][0.1,0.15[[/C][C]0.125[/C][C]359[/C][C]0.077874[/C][C]0.883514[/C][C]1.557484[/C][/ROW]
[ROW][C][0.15,0.2[[/C][C]0.175[/C][C]186[/C][C]0.040347[/C][C]0.923861[/C][C]0.806941[/C][/ROW]
[ROW][C][0.2,0.25[[/C][C]0.225[/C][C]108[/C][C]0.023427[/C][C]0.947289[/C][C]0.468547[/C][/ROW]
[ROW][C][0.25,0.3[[/C][C]0.275[/C][C]67[/C][C]0.014534[/C][C]0.961822[/C][C]0.290672[/C][/ROW]
[ROW][C][0.3,0.35[[/C][C]0.325[/C][C]57[/C][C]0.012364[/C][C]0.974187[/C][C]0.247289[/C][/ROW]
[ROW][C][0.35,0.4[[/C][C]0.375[/C][C]37[/C][C]0.008026[/C][C]0.982213[/C][C]0.160521[/C][/ROW]
[ROW][C][0.4,0.45[[/C][C]0.425[/C][C]21[/C][C]0.004555[/C][C]0.986768[/C][C]0.091106[/C][/ROW]
[ROW][C][0.45,0.5[[/C][C]0.475[/C][C]18[/C][C]0.003905[/C][C]0.990672[/C][C]0.078091[/C][/ROW]
[ROW][C][0.5,0.55[[/C][C]0.525[/C][C]8[/C][C]0.001735[/C][C]0.992408[/C][C]0.034707[/C][/ROW]
[ROW][C][0.55,0.6[[/C][C]0.575[/C][C]13[/C][C]0.00282[/C][C]0.995228[/C][C]0.056399[/C][/ROW]
[ROW][C][0.6,0.65[[/C][C]0.625[/C][C]9[/C][C]0.001952[/C][C]0.99718[/C][C]0.039046[/C][/ROW]
[ROW][C][0.65,0.7[[/C][C]0.675[/C][C]7[/C][C]0.001518[/C][C]0.998698[/C][C]0.030369[/C][/ROW]
[ROW][C][0.7,0.75[[/C][C]0.725[/C][C]1[/C][C]0.000217[/C][C]0.998915[/C][C]0.004338[/C][/ROW]
[ROW][C][0.75,0.8[[/C][C]0.775[/C][C]1[/C][C]0.000217[/C][C]0.999132[/C][C]0.004338[/C][/ROW]
[ROW][C][0.8,0.85[[/C][C]0.825[/C][C]1[/C][C]0.000217[/C][C]0.999349[/C][C]0.004338[/C][/ROW]
[ROW][C][0.85,0.9[[/C][C]0.875[/C][C]0[/C][C]0[/C][C]0.999349[/C][C]0[/C][/ROW]
[ROW][C][0.9,0.95[[/C][C]0.925[/C][C]2[/C][C]0.000434[/C][C]0.999783[/C][C]0.008677[/C][/ROW]
[ROW][C][0.95,1][/C][C]0.975[/C][C]1[/C][C]0.000217[/C][C]1[/C][C]0.004338[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[-0.8,-0.75[	-0.775	1	0.000217	0.000217	0.004338
[-0.75,-0.7[	-0.725	0	0	0.000217	0
[-0.7,-0.65[	-0.675	7	0.001518	0.001735	0.030369
[-0.65,-0.6[	-0.625	3	0.000651	0.002386	0.013015
[-0.6,-0.55[	-0.575	15	0.003254	0.00564	0.065076
[-0.55,-0.5[	-0.525	25	0.005423	0.011063	0.10846
[-0.5,-0.45[	-0.475	29	0.006291	0.017354	0.125813
[-0.45,-0.4[	-0.425	31	0.006725	0.024078	0.13449
[-0.4,-0.35[	-0.375	40	0.008677	0.032755	0.173536
[-0.35,-0.3[	-0.325	51	0.011063	0.043818	0.221258
[-0.3,-0.25[	-0.275	70	0.015184	0.059002	0.303688
[-0.25,-0.2[	-0.225	107	0.02321	0.082213	0.464208
[-0.2,-0.15[	-0.175	165	0.035792	0.118004	0.715835
[-0.15,-0.1[	-0.125	236	0.051193	0.169197	1.023861
[-0.1,-0.05[	-0.075	470	0.101952	0.27115	2.039046
[-0.05,0[	-0.025	774	0.167896	0.439046	3.357918
[0,0.05[	0.025	1065	0.23102	0.670065	4.62039
[0.05,0.1[	0.075	625	0.135575	0.80564	2.711497
[0.1,0.15[	0.125	359	0.077874	0.883514	1.557484
[0.15,0.2[	0.175	186	0.040347	0.923861	0.806941
[0.2,0.25[	0.225	108	0.023427	0.947289	0.468547
[0.25,0.3[	0.275	67	0.014534	0.961822	0.290672
[0.3,0.35[	0.325	57	0.012364	0.974187	0.247289
[0.35,0.4[	0.375	37	0.008026	0.982213	0.160521
[0.4,0.45[	0.425	21	0.004555	0.986768	0.091106
[0.45,0.5[	0.475	18	0.003905	0.990672	0.078091
[0.5,0.55[	0.525	8	0.001735	0.992408	0.034707
[0.55,0.6[	0.575	13	0.00282	0.995228	0.056399
[0.6,0.65[	0.625	9	0.001952	0.99718	0.039046
[0.65,0.7[	0.675	7	0.001518	0.998698	0.030369
[0.7,0.75[	0.725	1	0.000217	0.998915	0.004338
[0.75,0.8[	0.775	1	0.000217	0.999132	0.004338
[0.8,0.85[	0.825	1	0.000217	0.999349	0.004338
[0.85,0.9[	0.875	0	0	0.999349	0
[0.9,0.95[	0.925	2	0.000434	0.999783	0.008677
[0.95,1]	0.975	1	0.000217	1	0.004338

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = 50 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- ''
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
barplot(mytab <- sort(table(x),T),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Histogram)',6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code